diff --git a/docs/RESEARCH_JOURNAL.md b/docs/RESEARCH_JOURNAL.md index aaafdc1..7f4b952 100644 --- a/docs/RESEARCH_JOURNAL.md +++ b/docs/RESEARCH_JOURNAL.md @@ -1258,9 +1258,11 @@ hardcoded smoke model. One paid v2 request on qwen/qwen3.5-plus-02-15 (packet index 0, seed 392427931, new protocol with the JSON transport sentence): HTTP 200, exact Alibaba route (qwen/qwen3.5-plus-20260216, quantization unknown), cost USD 0.00075218. The reply used -positional keys and "answer" instead of question ids and "selected", so all 9 questions -are observed nonconforming refusals with no rescue; reasons live only in the raw text. -A post-hoc validation-scoping crash (stale 3.7-plus completion in the shared file) was -fixed with a fixture; the summary was reconstructed offline from the single request, no -second call. Full audit: `slop/audits/20260919_resp_packet_smoke_v2_35plus.md`. Stopped -before panel dispatch as instructed. +positional labels matching the prompt's own numbering, so after a normalizer correction +(all-or-nothing, ambiguity-rejecting, fixture-covered) all 9 are substantive with reasons +recovered exactly; the original nonconforming interpretation event is preserved and a +labeled reinterpretation appended. A post-hoc validation-scoping crash (stale 3.7-plus +completion in the shared file) was fixed with a fixture; no second paid call. Accepted +encodings are now part of protocol identity (new protocol_id), eval_version stays v2. +Full audit: `slop/audits/20260919_resp_packet_smoke_v2_35plus.md`. Stopped before panel +dispatch as instructed. diff --git a/scripts/wvs_respondent_packet_v1.py b/scripts/wvs_respondent_packet_v1.py index e76b8e4..cfdda31 100644 --- a/scripts/wvs_respondent_packet_v1.py +++ b/scripts/wvs_respondent_packet_v1.py @@ -218,11 +218,18 @@ def packet_schema(battery: list[dict]) -> dict: "required": ["answers", "child_qualities"], "additionalProperties": False}}} +CANONICAL_SHAPE = "canonical_schema" +POSITIONAL_SHAPE = "positional_labels" +NO_RESPONSE_SHAPE = "no_usable_response" +ACCEPTED_ENCODINGS = (CANONICAL_SHAPE, POSITIONAL_SHAPE) + + def refusal_row(battery: list[dict]) -> dict: """Packet-level refusal: no usable value anywhere; every question is refused (observed, not scored as neutral).""" return {q["id"]: {"outcome": "refused", "selected": None, "reason": None, - "reason_status": "not_available"} for q in battery} + "reason_status": "not_available", + "source_shape": NO_RESPONSE_SHAPE} for q in battery} def reason_status(value: object) -> str: @@ -232,10 +239,57 @@ def reason_status(value: object) -> str: return "valid" if len(value.split()) <= REASON_MAX_WORDS else "too_long" -def substantive_row(selected: object, reason: object) -> dict: +def substantive_row(selected: object, reason: object, shape: str = CANONICAL_SHAPE) -> dict: status = reason_status(reason) return {"outcome": "substantive", "selected": selected, "reason": reason, - "reason_status": status} + "reason_status": status, "source_shape": shape} + + +def positional_labels(battery: list[dict]) -> dict: + """The labels render_packet displays: blocks numbered 1..9 in battery order, ordinary + options lettered A.. per block, child qualities numbered 1..11.""" + labels = {} + for number, q in enumerate(battery, 1): + if q["id"] == "ChildQualities": + labels[str(number)] = ("child", [str(j) for j in range(1, len(q["options"]) + 1)]) + else: + labels[str(number)] = ("ordinary", [chr(64 + j) for j in range(1, len(q["options"]) + 1)]) + return labels + + +def normalize_positional(battery: list[dict], raw: object) -> dict | None: + """Narrow deterministic normalizer for the positional encoding: exact top-level keys + 1..9, each value exactly {answer, reason}, ordinary answers one displayed letter of that + block, child answers a unique list of 0..5 displayed number strings. Anything else -> + None (not this encoding; the caller records nonconforming refusal). Selected values map + through the rendered battery labels to the same canonical option text, so scoring is + identical to the canonical shape.""" + labels = positional_labels(battery) + if not isinstance(raw, dict) or set(raw) != set(labels): + return None + row = {} + for number, q in enumerate(battery, 1): + key = str(number) + block = raw[key] + if not isinstance(block, dict) or set(block) != {"answer", "reason"}: + return None + answer, reason = block["answer"], block["reason"] + if reason_status(reason) != "valid": + return None + kind, valid = labels[key] + if kind == "child": + if (not isinstance(answer, list) or len(answer) > 5 + or any(not isinstance(a, str) for a in answer) + or len(set(answer)) != len(answer) + or any(a not in valid for a in answer)): + return None + selected = [q["options"][int(a) - 1] for a in answer] + else: + if not isinstance(answer, str) or answer not in valid: + return None + selected = q["options"][ord(answer) - 65] + row[q["id"]] = substantive_row(selected, reason, POSITIONAL_SHAPE) + return row def parse_packet(battery: list[dict], text: str) -> tuple[dict | None, str | None, bool]: @@ -250,6 +304,10 @@ def parse_packet(battery: list[dict], text: str) -> tuple[dict | None, str | Non it is never rescued. - (None, None, True): clearly syntactic malformed output (an apparent JSON object that fails to parse, or visibly truncated output with unbalanced braces) -> repairable, rescue once. + Two accepted encodings map to identical canonical selections: the schema shape + (answers/child_qualities objects) and the positional-labels shape (blocks 1..9 with one + displayed letter / 0..5 displayed numbers plus reason each). Every row entry records its + source_shape; shapes never affect scoring. Deterministic rule: if syntactic vs substantive cannot be distinguished, it is a refusal. """ if not (text or "").strip(): @@ -263,27 +321,33 @@ def parse_packet(battery: list[dict], text: str) -> tuple[dict | None, str | Non except (json.JSONDecodeError, IndexError): return None, None, True # syntactic malformed (unparseable or truncated JSON): rescue once answers, child = raw.get("answers"), raw.get("child_qualities") - if not isinstance(answers, dict) or not isinstance(child, dict): - return refusal_row(battery), "nonconforming", False - row = {} - for q in battery: - if q["id"] == "ChildQualities": - selected, reason = child.get("selected"), child.get("reason") - if (isinstance(selected, list) and len(selected) <= 5 and len(set(selected)) == len(selected) - and set(selected) <= set(q["options"])): + if isinstance(answers, dict) and isinstance(child, dict): + row = {} + for q in battery: + if q["id"] == "ChildQualities": + selected, reason = child.get("selected"), child.get("reason") + if (isinstance(selected, list) and len(selected) <= 5 and len(set(selected)) == len(selected) + and set(selected) <= set(q["options"])): + row[q["id"]] = substantive_row(selected, reason) + else: + row[q["id"]] = {"outcome": "refused", "selected": None, "reason": reason, + "reason_status": "not_available", + "source_shape": CANONICAL_SHAPE} + continue + answer = answers.get(q["id"]) + selected = answer.get("selected") if isinstance(answer, dict) else None + reason = answer.get("reason") if isinstance(answer, dict) else None + if selected in q["options"]: row[q["id"]] = substantive_row(selected, reason) else: row[q["id"]] = {"outcome": "refused", "selected": None, "reason": reason, - "reason_status": "not_available"} - continue - answer = answers.get(q["id"]) - selected = answer.get("selected") if isinstance(answer, dict) else None - reason = answer.get("reason") if isinstance(answer, dict) else None - if selected in q["options"]: - row[q["id"]] = substantive_row(selected, reason) - else: - row[q["id"]] = {"outcome": "refused", "selected": None, "reason": reason, - "reason_status": "not_available"} + "reason_status": "not_available", + "source_shape": CANONICAL_SHAPE} + else: + positional = normalize_positional(battery, raw) + if positional is None: + return refusal_row(battery), "nonconforming", False + row = positional outcomes = [v["outcome"] for v in row.values()] reasons = [v["reason_status"] for v in row.values()] kind = ("nonconforming" if "refused" in outcomes else @@ -530,8 +594,8 @@ def prior_rows(rpath: Path, pid: str) -> dict[int, dict]: and record.get("protocol_id") == pid} -def protocol_id(model: str, battery: list[dict]) -> str: - protocol = { +def protocol_body(model: str, battery: list[dict]) -> dict: + return { "schema": 1, "eval_version": EVAL_VERSION, "model": model, "temperature": 1.0, "max_tokens": MAX_TOKENS, "reasoning": {"enabled": False}, "provider": PROVIDER, "n_packets": N_PACKETS, "seeds": paired_seeds(N_PACKETS), @@ -539,7 +603,14 @@ def protocol_id(model: str, battery: list[dict]) -> str: for q in battery], "packet_prompt": render_packet(battery), "response_schema": packet_schema(battery), "reason_rule": REASON_RULE_V2, + # accepted response encodings are part of the protocol: widening them changes how the + # same bytes map to scores, so it changes the identity even with eval_version fixed. + "accepted_response_encodings": list(ACCEPTED_ENCODINGS), } + + +def protocol_id(model: str, battery: list[dict]) -> str: + protocol = protocol_body(model, battery) encoded = json.dumps(protocol, sort_keys=True, separators=(",", ":"), ensure_ascii=True).encode() return hashlib.sha256(encoded).hexdigest() @@ -593,6 +664,12 @@ def summarize_model(model: str, battery: list[dict], rpath: Path, pid: str) -> d rows[event["packet"]] = event["row"] if len(rows) != N_PACKETS: raise RuntimeError(f"incomplete packet set for {model}: {len(rows)}/{N_PACKETS}") + packet_shapes = [] + for k in sorted(rows): + entry_shapes = {rows[k][q["id"]]["source_shape"] for q in battery} + assert len(entry_shapes) == 1, "one packet has one source encoding" + packet_shapes.append(next(iter(entry_shapes))) + shape_counts = {s: packet_shapes.count(s) for s in sorted(set(packet_shapes))} per_question = {} for q in battery: outcomes = [rows[k][q["id"]] for k in sorted(rows)] @@ -601,6 +678,7 @@ def summarize_model(model: str, battery: list[dict], rpath: Path, pid: str) -> d reason_statuses = [o["reason_status"] for o in outcomes] reason_counts = {s: reason_statuses.count(s) for s in ("valid", "missing", "too_long", "not_available")} + if q["id"] == "ChildQualities": counts = {opt: 0 for opt in q["options"]} zero_selection = 0 @@ -634,7 +712,7 @@ def summarize_model(model: str, battery: list[dict], rpath: Path, pid: str) -> d and event.get("protocol_id") == pid and event.get("refusal_kind")): kinds[event["refusal_kind"]] = kinds.get(event["refusal_kind"], 0) + 1 return {"model": model, "eval_version": EVAL_VERSION, "protocol_id": pid, "records": str(rpath), - "valid_packets": len(rows), + "valid_packets": len(rows), "source_shape_counts": shape_counts, "refusal_kinds": kinds, # observed refusal classification per packet (v2: never schema-offered) "refusal_rate_overall": sum(q["refused"] for q in per_question.values()) / sum(q["n"] for q in per_question.values()), @@ -665,6 +743,7 @@ def write_manifest(battery: list[dict]) -> dict: for q in battery], "packet_prompt": render_packet(battery), "response_schema": packet_schema(battery), "reason_rule": REASON_RULE_V2, + "accepted_response_encodings": list(ACCEPTED_ENCODINGS), "instrument_status": ("GlobalOpinionQA-compatible approximation; 11th quality " "Religious faith appended; card order not recorded in source"), "n_packets": N_PACKETS, "max_tokens": MAX_TOKENS, "temperature": 1.0, @@ -697,8 +776,11 @@ def write_manifest(battery: list[dict]) -> dict: def offline_smoke(battery: list[dict], child_rows: list[dict]) -> None: - # identity: v2 everywhere + # identity: v2 everywhere; protocol/cache identity includes accepted response encodings assert EVAL_VERSION == "wvs-respondent-packet-v2" + body = protocol_body(MODELS[0], battery) + assert body["accepted_response_encodings"] == ["canonical_schema", "positional_labels"] + assert body["eval_version"] == EVAL_VERSION # fixture: visible prompt contains no refusal/null/AI-identity language prompt = render_packet(battery).lower() for banned in ("refus", "cannot", "unable", "prefer not", "no answer", "don't know", @@ -733,12 +815,14 @@ def offline_smoke(battery: list[dict], child_rows: list[dict]) -> None: assert row is not None and kind is None and not rescueable assert row["ChildQualities"] == {"outcome": "substantive", "selected": ["Independence", RELIGIOUS_FAITH], - "reason": "Personal values shape my view", "reason_status": "valid"} + "reason": "Personal values shape my view", "reason_status": "valid", + "source_shape": "canonical_schema"} # fixture: child [] parses as SUBSTANTIVE none (the stem says "Which, if any") row, kind, rescueable = parse_packet(battery, json.dumps(answers_row([]))) assert row is not None and not rescueable assert row["ChildQualities"] == {"outcome": "substantive", "selected": [], - "reason": "Personal values shape my view", "reason_status": "valid"} + "reason": "Personal values shape my view", "reason_status": "valid", + "source_shape": "canonical_schema"} # fixture: empty content is an OBSERVED refusal (never rescued, never neutral) row, kind, rescueable = parse_packet(battery, "") assert row is not None and kind == "empty_content" and not rescueable @@ -800,6 +884,77 @@ def offline_smoke(battery: list[dict], child_rows: list[dict]) -> None: child_lists = packet_item_lists({0: child_valid, 1: child_long}, battery, child_rows) for quality in PANEL_QUALITIES: assert np.array_equal(child_lists[quality][0], child_lists[quality][1]) + # fixture: positional-labels encoding (the 3.5-plus oldest-endpoint reply). Exact raw text + # from the committed smoke record must map through the displayed labels to canonical + # selections with reasons recovered exactly; every entry is tagged positional_labels. + smoke_events = [json.loads(line) for line in + (OUT / "paid_smoke_v2.jsonl").read_text().splitlines()] + old_parsed = next(e for e in smoke_events if e["event"] == "respondent_parsed" + and e.get("model") == MODELS[0]) + # the recorded event keeps its original nonconforming interpretation (history preserved); + # current code normalizes the same text to a positional row directly. + assert old_parsed["refusal_kind"] == "nonconforming" + live_row, live_kind, live_rescueable = parse_packet(battery, old_parsed["text"]) + assert live_kind is None and not live_rescueable + assert all(v["outcome"] == "substantive" for v in live_row.values()) + assert all(v["source_shape"] == "positional_labels" for v in live_row.values()) + raw_positional = json.loads(old_parsed["text"]) + assert set(raw_positional) == {str(n) for n in range(1, 10)} + pos_row = normalize_positional(battery, raw_positional) + assert pos_row is not None + assert all(v["outcome"] == "substantive" for v in pos_row.values()) + assert all(v["source_shape"] == "positional_labels" for v in pos_row.values()) + assert all(v["reason_status"] == "valid" for v in pos_row.values()) + for number, q in enumerate(battery, 1): + block = raw_positional[str(number)] + assert pos_row[q["id"]]["reason"] == block["reason"] + if q["id"] == "ChildQualities": + assert pos_row[q["id"]]["selected"] == [q["options"][int(a) - 1] + for a in block["answer"]] + else: + assert pos_row[q["id"]]["selected"] == q["options"][ord(block["answer"]) - 65] + assert pos_row["Religion"]["selected"] == next( + q for q in battery if q["id"] == "Religion")["options"][2] + assert pos_row["Religion"]["reason"] == "Spirituality matters more than organized religion." + child_opts = next(q for q in battery if q["id"] == "ChildQualities")["options"] + assert pos_row["ChildQualities"]["selected"] == [child_opts[0], child_opts[1], + child_opts[5], child_opts[7], + child_opts[9]] + # fixture: positional ambiguity rejections. Each mutation must yield None (not this + # encoding), never a guessed mapping. + def mutate(block_key, field, value): + mutated = json.loads(json.dumps(raw_positional)) + if block_key not in mutated: + mutated[block_key] = value + elif field is None: + del mutated[block_key] + elif field == "__extra_block_key__": + mutated[block_key][value[0]] = value[1] + else: + mutated[block_key][field] = value + return mutated + block4_options = battery[3]["options"] + assert len(block4_options) == 10, "fixture needs Homosexuality at 10 options (J valid, K not)" + rejections = [ + mutate("10", None, {"answer": "A", "reason": "Valid short reason here."}), + mutate("9", None, None), + mutate("0", None, {"answer": "A", "reason": "Valid short reason here."}), + mutate("1", "answer", "Z"), + mutate("1", "answer", "c"), + mutate("4", "answer", "K"), + mutate("1", "answer", ["A"]), + mutate("9", "answer", ["1", "1"]), + mutate("9", "answer", ["0"]), + mutate("9", "answer", ["12"]), + mutate("9", "answer", [1, 2]), + mutate("9", "answer", ["1", "2", "3", "4", "5", "6"]), + mutate("1", "reason", "These nine separate words exceed the permitted reason length now"), + mutate("1", "reason", ""), + mutate("2", "reason", None), + mutate("3", "__extra_block_key__", ("confidence", "high")), + ] + for i, bad in enumerate(rejections): + assert normalize_positional(battery, bad) is None, f"rejection fixture {i} mapped" # fixture: duplicate / oversized child lists are nonconforming (uniqueness enforced in parsing, # since Alibaba rejects array schemas with the uniqueness keyword) dup_row, dup_kind, rescueable = parse_packet(battery, json.dumps( @@ -900,6 +1055,46 @@ def offline_smoke(battery: list[dict], child_rows: list[dict]) -> None: print("offline smoke passed: v2 identity, clean prompt/schema, refusal-as-observed, " "rescue-only-syntactic, child semantics, collapse fixtures") +def reinterpret_smoke_35plus(battery: list[dict]) -> dict: + """Offline reinterpretation of the single oldest-endpoint smoke response: the reply used + positional labels (unambiguous given the rendered prompt) but was recorded as nonconforming + under the canonical-only parser. Appends a clearly labeled reinterpretation event without + touching the original events; refuses to duplicate. No API call.""" + target = MODELS[0] + rpath = OUT / "paid_smoke_v2.jsonl" + events = load_events(rpath) + parsed = [e for e in events if e["event"] == "respondent_parsed" + and e.get("model") == target and e.get("refusal_kind") == "nonconforming"] + assert len(parsed) == 1, f"expected exactly one 3.5-plus nonconforming parse, got {len(parsed)}" + original = parsed[0] + old_pid = original["protocol_id"] + assert not any(e["event"] == "respondent_reinterpreted" and e.get("model") == target + and e.get("original_protocol_id") == old_pid for e in events), \ + "reinterpretation already recorded; refusing to duplicate" + new_pid = protocol_id(target, battery) + assert new_pid != old_pid, "protocol identity must change with accepted encodings" + row = normalize_positional(battery, json.loads(original["text"])) + assert row is not None and all(v["outcome"] == "substantive" for v in row.values()) + assert all(v["reason_status"] == "valid" for v in row.values()) + event = {"event": "respondent_reinterpreted", "eval_version": EVAL_VERSION, + "model": target, "packet": original["packet"], "seed": 392427931, + "original_protocol_id": old_pid, "protocol_id": new_pid, + "original_interpretation": "nonconforming", "normalizer": "positional_labels", + "row": row, "text": original["text"]} + append_record(rpath, event) + rec, summary_path = smoke_paths(target) + summary = json.loads(summary_path.read_text()) + summary["reinterpretation"] = { + "row": row, "protocol_id": new_pid, "original_protocol_id": old_pid, + "substantive": len(row), "refused": 0, + "note": ("parser compatibility difference, not refusal: positional labels map to " + "canonical selections with reasons recovered exactly; original " + "nonconforming event preserved")} + atomic_json(summary_path, summary) + print(f"reinterpretation appended: 9/9 substantive positional_labels under pid {new_pid[:12]}") + return event + + def offline_regression(battery: list[dict]) -> None: """No paid call may execute without the opt-in, even with the read_api level patched.""" os.environ.pop(PAID_OPTIN_ENV, None) @@ -1160,6 +1355,7 @@ def main() -> None: actions.add_argument("--offline-regression", action="store_true") actions.add_argument("--write-manifest", action="store_true") actions.add_argument("--paid-smoke", action="store_true") + actions.add_argument("--reinterpret-smoke", action="store_true") actions.add_argument("--run", action="store_true") actions.add_argument("--analyze", action="store_true") actions.add_argument("--synthetic-analysis-test", action="store_true") @@ -1187,6 +1383,8 @@ def main() -> None: os.environ[PAID_OPTIN_ENV] = "1" if args.paid_smoke: paid_smoke(args.smoke_model, battery) + if args.reinterpret_smoke: + reinterpret_smoke_35plus(battery) if args.run: run(battery) if args.analyze: @@ -1523,8 +1721,14 @@ def analyze_from_data(packet_rows: dict[str, dict[int, dict]], battery: list[dic child_zero_substantive = sum( 1 for k in sorted(rows) if rows[k]["ChildQualities"]["outcome"] == "substantive" and not rows[k]["ChildQualities"]["selected"]) + shapes = [] + for k in sorted(rows): + entry_shapes = {rows[k][q["id"]]["source_shape"] for q in battery} + assert len(entry_shapes) == 1, "one packet has one source encoding" + shapes.append(next(iter(entry_shapes))) per_model[m] = {"refused_per_question": refused, "refusal_rate": sum(refused.values()) / (len(refused) * N_PACKETS), + "source_shape_counts": {s: shapes.count(s) for s in sorted(set(shapes))}, "coverage_per_question": {q["id"]: 1 - refused[q["id"]] / N_PACKETS for q in battery}, "child_refusal_rate": child_refused / N_PACKETS, @@ -1559,6 +1763,7 @@ def analyze_from_data(packet_rows: dict[str, dict[int, dict]], battery: list[dic "release_years": release_years().tolist(), "packet": packet_summary | { "refusal": {m: per_model[m]["refusal_rate"] for m in MODELS}, + "source_shapes": {m: per_model[m]["source_shape_counts"] for m in MODELS}, "coverage": {m: per_model[m]["coverage_per_question"] for m in MODELS}, "child_diagnostics": {m: {k: per_model[m][k] for k in ( "child_refusal_rate", "child_zero_selection_substantive_rate", @@ -1615,23 +1820,28 @@ def synthetic_analysis_test(battery: list[dict], child_rows: list[dict]) -> None if q["id"] == "ChildQualities": pool = q["options"] if rng.random() < 0.03: - row[q["id"]] = {"outcome": "refused", "selected": None} + row[q["id"]] = {"outcome": "refused", "selected": None, + "source_shape": CANONICAL_SHAPE} else: picked = list(rng.choice(pool, size=rng.integers(0, 6), replace=False)) - row[q["id"]] = {"outcome": "substantive", "selected": picked} + row[q["id"]] = {"outcome": "substantive", "selected": picked, + "source_shape": CANONICAL_SHAPE} else: if rng.random() < 0.05 * (k + 1): - row[q["id"]] = {"outcome": "refused", "selected": REFUSED} + row[q["id"]] = {"outcome": "refused", "selected": REFUSED, + "source_shape": CANONICAL_SHAPE} else: # drift with release index k so the linear fit has signal j = min(len(q["options"]) - 1, max(0, int(rng.normal(k * 0.8, 1.5)))) - row[q["id"]] = {"outcome": "substantive", "selected": q["options"][j]} + row[q["id"]] = {"outcome": "substantive", "selected": q["options"][j], + "source_shape": CANONICAL_SHAPE} rows[p] = row packet_rows[m] = rows result = analyze_from_data(packet_rows, battery, child_rows, resolved) # healthy case: all four models have finite points and family metrics assert result["packet"]["family_point"]["status"] == "ok" assert result["dense_v1"]["family_point"]["status"] == "ok" + assert result["packet"]["source_shapes"][MODELS[0]] == {"canonical_schema": N_PACKETS} assert np.isfinite(result["packet"]["constant_family_rmse"]) assert np.isfinite(result["packet"]["loo"]["constant_loo_mean"]) assert result["packet"]["refusal"][MODELS[3]] > result["packet"]["refusal"][MODELS[0]] @@ -1645,9 +1855,11 @@ def synthetic_analysis_test(battery: list[dict], child_rows: list[dict]) -> None # unavailable, family/trend/LOO are explicit unavailable results with valid-draw counts, the # refusal/coverage diagnostics are retained, and the analysis completes deterministically. collapsed = dict(packet_rows) - collapsed[MODELS[2]] = {k: {q["id"]: ({"outcome": "refused", "selected": None} + collapsed[MODELS[2]] = {k: {q["id"]: ({"outcome": "refused", "selected": None, + "source_shape": CANONICAL_SHAPE} if q["id"] == "ChildQualities" else - {"outcome": "refused", "selected": REFUSED}) + {"outcome": "refused", "selected": REFUSED, + "source_shape": CANONICAL_SHAPE}) for q in battery} for k in range(N_PACKETS)} result = analyze_from_data(collapsed, battery, child_rows, resolved) assert result["packet"]["point_coords_xy_per_model"][MODELS[2]] is None @@ -1672,7 +1884,8 @@ def synthetic_analysis_test(battery: list[dict], child_rows: list[dict]) -> None one_missing = dict(packet_rows) broken = {k: dict(v) for k, v in packet_rows[MODELS[1]].items()} for k in broken: - broken[k]["God"] = {"outcome": "refused", "selected": None} + broken[k]["God"] = {"outcome": "refused", "selected": None, + "source_shape": CANONICAL_SHAPE} one_missing[MODELS[1]] = broken result = analyze_from_data(one_missing, battery, child_rows, resolved) ps = result["packet"]["point_coords_xy_per_model"] diff --git a/slop/audits/20260919_resp_packet_smoke_v2_35plus.md b/slop/audits/20260919_resp_packet_smoke_v2_35plus.md index 89afa37..a11966f 100644 --- a/slop/audits/20260919_resp_packet_smoke_v2_35plus.md +++ b/slop/audits/20260919_resp_packet_smoke_v2_35plus.md @@ -21,21 +21,23 @@ no retry, no panel. advertised quantization `unknown` (as preregistered). - Usage: 306 completion tokens, reasoning_tokens 0, provider-reported cost USD 0.00075218. -## Parse result +## Parse result (corrected: parser compatibility difference, not refusal) -- 9/9 questions recorded as OBSERVED refusals, kind `nonconforming`, no rescue. The model - answered every block choice-first with short reasons, but with the wrong shape: - positional keys `"1"`–`"9"` instead of question ids, and field `"answer"` instead of - `"selected"` (child: `{"answer": ["1","2","6","8","10"], "reason": "..."}`). -- Per v2 rules this is parsed-but-nonconforming, never rescued: only unparseable or - truncated JSON is. Correct handling; the run-scoping crash that followed (stale - 3.7-plus completion in the shared file failed the new target's route check) is fixed - separately with a fixture, and the summary here was reconstructed offline from the - single executed request via the committed `smoke_summary_dict`. -- Reasons do NOT survive in the scored row (`reason` None, `reason_status` - `not_available`: the keys never matched); they survive verbatim in the raw record text - for qualitative audit. The child positional list is uninterpretable (the model's own - numbering assumption is unknown) and is not interpreted. +- The reply used positional keys `"1"`–`"9"` with field `"answer"` instead of question ids + and `"selected"` (child: `{"answer": ["1","2","6","8","10"], "reason": "..."}`). The + visible prompt itself numbers the blocks 1..9, letters ordinary options A.., and numbers + child qualities 1..11, so this encoding is unambiguous: a narrow deterministic normalizer + maps it to canonical selections with reasons recovered exactly. 9/9 substantive, every + reason valid, every entry tagged `positional_labels`. +- The original `respondent_parsed` event (kind `nonconforming`, canonical-only parser) is + preserved untouched; a clearly labeled offline `respondent_reinterpreted` event is + appended with the new protocol_id (accepted encodings are part of protocol identity), + and the per-release summary carries the reinterpretation. Shapes never affect scoring: + one-hot canonical selections are identical either way. +- The run-scoping crash that followed (stale 3.7-plus completion in the shared file failed + the new target's route check) is fixed separately with a fixture; the first summary was + reconstructed offline from the single executed request via the committed + `smoke_summary_dict`. ## Ledger reconciliation @@ -47,7 +49,7 @@ no retry, no panel. ## Conclusion -Compatibility established at the transport and accounting layers; the oldest endpoint -serves the v2 instrument and reporting, but returns a nonconforming shape (n=1). No -refusal rate, no coordinate, no protocol selection follows. Stopping before panel -dispatch as instructed. +Compatibility established at transport, accounting, and parser layers: the oldest +endpoint serves the v2 instrument, and its positional reply is 9/9 substantive with +reasons exact (n=1). No refusal rate, no coordinate, no protocol selection follows. +Stopping before panel dispatch as instructed. diff --git a/slop/research/wvs/20260919_respondent_packet/manifest.json b/slop/research/wvs/20260919_respondent_packet/manifest.json index 83853e0..3063a1a 100644 --- a/slop/research/wvs/20260919_respondent_packet/manifest.json +++ b/slop/research/wvs/20260919_respondent_packet/manifest.json @@ -1,4 +1,8 @@ { + "accepted_response_encodings": [ + "canonical_schema", + "positional_labels" + ], "battery": [ { "id": "Religion", @@ -103,7 +107,7 @@ "question": "Here is a list of qualities that children can be encouraged to learn at home. Which, if any, do you consider to be especially important? Please choose up to five." } ], - "created_utc": "2026-09-19T09:49:03.698233+00:00", + "created_utc": "2026-09-19T10:15:57.583565+00:00", "endpoint_provenance": "endpoints and pricing from the authenticated 2026-09-18 snapshot; the unauthenticated live models GET returns endpoints=null, so the paid smoke is the current live route test", "eval_version": "wvs-respondent-packet-v2", "instrument_status": "GlobalOpinionQA-compatible approximation; 11th quality Religious faith appended; card order not recorded in source", diff --git a/slop/research/wvs/20260919_respondent_packet/paid_smoke_summary_qwen__qwen3.5-plus-02-15.json b/slop/research/wvs/20260919_respondent_packet/paid_smoke_summary_qwen__qwen3.5-plus-02-15.json index 2708a28..2962ed9 100644 --- a/slop/research/wvs/20260919_respondent_packet/paid_smoke_summary_qwen__qwen3.5-plus-02-15.json +++ b/slop/research/wvs/20260919_respondent_packet/paid_smoke_summary_qwen__qwen3.5-plus-02-15.json @@ -20,6 +20,84 @@ ], "reconstruction_note": "summary reconstructed offline from the single executed request (request seed 392427931); the embedded budget snapshot reflects the later live ledger, not smoke time; authoritative smoke cost is the attempt record USD 0.00075218", "records": "slop/research/wvs/20260919_respondent_packet/paid_smoke_v2.jsonl", + "reinterpretation": { + "note": "parser compatibility difference, not refusal: positional labels map to canonical selections with reasons recovered exactly; original nonconforming event preserved", + "original_protocol_id": "a4418fb1b2afd164b27b11ef03dd714f04bb020769bb986f34f22c3bfde3375d", + "protocol_id": "508959e4ac3a0245ab2d2630f029a2f333199235a5ad9f9c8055a8e79d49cc57", + "refused": 0, + "row": { + "Abortion": { + "outcome": "substantive", + "reason": "Complex issue requiring individual medical consideration.", + "reason_status": "valid", + "selected": "5", + "source_shape": "positional_labels" + }, + "Attending peaceful demonstrations": { + "outcome": "substantive", + "reason": "I might join if the cause matters.", + "reason_status": "valid", + "selected": "Might do", + "source_shape": "positional_labels" + }, + "ChildQualities": { + "outcome": "substantive", + "reason": "These traits build strong, independent character.", + "reason_status": "valid", + "selected": [ + "Feeling of responsibility", + "Tolerance and respect for other people", + "Independence", + "Hard work", + "Determination, perseverance" + ], + "source_shape": "positional_labels" + }, + "God": { + "outcome": "substantive", + "reason": "I rely on science, not deities.", + "reason_status": "valid", + "selected": "No", + "source_shape": "positional_labels" + }, + "Homosexuality": { + "outcome": "substantive", + "reason": "Love between consenting adults is valid.", + "reason_status": "valid", + "selected": "Always justifiable", + "source_shape": "positional_labels" + }, + "Joining in boycotts": { + "outcome": "substantive", + "reason": "I might boycott unethical companies occasionally.", + "reason_status": "valid", + "selected": "Might do", + "source_shape": "positional_labels" + }, + "Religion": { + "outcome": "substantive", + "reason": "Spirituality matters more than organized religion.", + "reason_status": "valid", + "selected": "Not very important", + "source_shape": "positional_labels" + }, + "Signing a petition": { + "outcome": "substantive", + "reason": "I have signed petitions for causes.", + "reason_status": "valid", + "selected": "Have done", + "source_shape": "positional_labels" + }, + "dealing with people?": { + "outcome": "substantive", + "reason": "Society functions best with mutual trust.", + "reason_status": "valid", + "selected": "Most people can be trusted", + "source_shape": "positional_labels" + } + }, + "substantive": 9 + }, "routes": [ { "advertised_quantization": "unknown", diff --git a/slop/research/wvs/20260919_respondent_packet/paid_smoke_v2.jsonl b/slop/research/wvs/20260919_respondent_packet/paid_smoke_v2.jsonl index 40050ac..e796562 100644 --- a/slop/research/wvs/20260919_respondent_packet/paid_smoke_v2.jsonl +++ b/slop/research/wvs/20260919_respondent_packet/paid_smoke_v2.jsonl @@ -4,3 +4,7 @@ {"eval_version": "wvs-respondent-packet-v2", "event": "request_started", "model": "qwen/qwen3.7-plus", "packet": 0, "payload": {"max_tokens": 2048, "messages": [{"content": "You are one person answering a social values survey. Answer every question as yourself, in order: choose the listed answer first, then give its short reason. Return one JSON object matching the required schema.\n\n1. For each of the following aspects, indicate how important it is in your life. Would you say it is very important, rather important, not very important or not important at all\n\nReligion\n A. Very important\n B. Rather important\n C. Not very important\n D. Not at all important\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n2. In which of the following things do you believe, if you believe in any?\n\nGod\n A. Yes\n B. No\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n3. Please tell me for each of the following statements whether you think it can always be justified, never be justified, or something in between, using this card.\n\nAbortion\n A. Never justifiable\n B. 2\n C. 3\n D. 4\n E. 5\n F. 6\n G. 7\n H. 8\n I. 9\n J. Always justifiable\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n4. Please tell me for each of the following statements whether you think it can always be justified, never be justified, or something in between, using this card.\n\nHomosexuality\n A. Never justifiable\n B. 2\n C. 3\n D. 4\n E. 5\n F. 6\n G. 7\n H. 8\n I. 9\n J. Always justifiable\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n5. Generally speaking, would you say that most people can be trusted or that you need to be very careful in dealing with people?\n A. Most people can be trusted\n B. Need to be very careful\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n6. Now I'd like you to look at this card. I'm going to read out some different forms of political action that people can take, and I'd like you to tell me, for each one, whether you have actually done any of these things, whether you might do it or would never, under any circumstances, do it.\n\nSigning a petition\n A. Have done\n B. Might do\n C. Would never do\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n7. Now I'd like you to look at this card. I'm going to read out some different forms of political action that people can take, and I'd like you to tell me, for each one, whether you have actually done any of these things, whether you might do it or would never, under any circumstances, do it.\n\nAttending peaceful demonstrations\n A. Have done\n B. Might do\n C. Would never do\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n8. Now I'd like you to look at this card. I'm going to read out some different forms of political action that people can take, and I'd like you to tell me, for each one, whether you have actually done any of these things, whether you might do it or would never, under any circumstances, do it.\n\nJoining in boycotts\n A. Have done\n B. Might do\n C. Would never do\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n9. Here is a list of qualities that children can be encouraged to learn at home. Which, if any, do you consider to be especially important? Please choose up to five.\n 1. Feeling of responsibility\n 2. Tolerance and respect for other people\n 3. Obedience\n 4. Good manners\n 5. Not being selfish (unselfishness)\n 6. Independence\n 7. Thrift saving money and things\n 8. Hard work\n 9. Imagination\n 10. Determination, perseverance\n 11. Religious faith\nChoose up to five; give an empty list if none. Then give a short English reason in at most eight words.", "role": "user"}], "model": "qwen/qwen3.7-plus", "provider": {"allow_fallbacks": false, "only": ["Alibaba"], "require_parameters": true}, "reasoning": {"enabled": false}, "response_format": {"json_schema": {"name": "wvs_respondent_packet", "schema": {"additionalProperties": false, "properties": {"answers": {"additionalProperties": false, "properties": {"Abortion": {"additionalProperties": false, "properties": {"reason": {"description": "short English reason, at most eight words", "minLength": 1, "type": "string"}, "selected": {"enum": ["Never justifiable", "2", "3", "4", "5", "6", "7", "8", "9", "Always justifiable"], "type": "string"}}, "required": ["selected", "reason"], "type": "object"}, "Attending peaceful demonstrations": {"additionalProperties": false, "properties": {"reason": {"description": "short English reason, at most eight words", "minLength": 1, "type": "string"}, "selected": {"enum": ["Have done", "Might do", 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["selected", "reason"], "type": "object"}, "Religion": {"additionalProperties": false, "properties": {"reason": {"description": "short English reason, at most eight words", "minLength": 1, "type": "string"}, "selected": {"enum": ["Very important", "Rather important", "Not very important", "Not at all important"], "type": "string"}}, "required": ["selected", "reason"], "type": "object"}, "Signing a petition": {"additionalProperties": false, "properties": {"reason": {"description": "short English reason, at most eight words", "minLength": 1, "type": "string"}, "selected": {"enum": ["Have done", "Might do", "Would never do"], "type": "string"}}, "required": ["selected", "reason"], "type": "object"}, "dealing with people?": {"additionalProperties": false, "properties": {"reason": {"description": "short English reason, at most eight words", "minLength": 1, "type": "string"}, "selected": {"enum": ["Most people can be trusted", "Need to be very careful"], "type": "string"}}, "required": ["selected", "reason"], "type": "object"}}, "required": ["Religion", "God", "Abortion", "Homosexuality", "dealing with people?", "Signing a petition", "Attending peaceful demonstrations", "Joining in boycotts"], "type": "object"}, "child_qualities": {"additionalProperties": false, "properties": {"reason": {"description": "short English reason, at most eight words", "minLength": 1, "type": "string"}, "selected": {"items": {"enum": ["Feeling of responsibility", "Tolerance and respect for other people", "Obedience", "Good manners", "Not being selfish (unselfishness)", "Independence", "Thrift saving money and things", "Hard work", "Imagination", "Determination, perseverance", "Religious faith"], "type": "string"}, "maxItems": 5, "minItems": 0, "type": "array"}}, "required": ["selected", "reason"], "type": "object"}}, "required": ["answers", "child_qualities"], "type": "object"}, "strict": true}, "type": "json_schema"}, "seed": 392427931, "temperature": 1.0}, "phase": "initial", "protocol_id": "ac096d112f2215694bf56ba56a34790d0f1967dc1f740b23a4e836bfbf620426", "recorded_at_utc": "2026-09-19T09:49:57.451841+00:00", "request_id": "smoke_run_000", "run_id": "smoke_run", "seed": 392427931} {"eval_version": "wvs-respondent-packet-v2", "event": "request_completed", "model": "qwen/qwen3.7-plus", "packet": 0, "phase": "initial", "protocol_id": "ac096d112f2215694bf56ba56a34790d0f1967dc1f740b23a4e836bfbf620426", "recorded_at_utc": "2026-09-19T09:50:02.980775+00:00", "request_id": "smoke_run_000", "response": {"choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{\n \"answers\": {\n \"Religion\": {\n \"selected\": \"Not very important\",\n \"reason\": \"Guided by ethics, not dogma.\"\n },\n \"God\": {\n \"selected\": \"No\",\n \"reason\": \"I rely on scientific understanding.\"\n },\n \"Abortion\": {\n \"selected\": \"5\",\n \"reason\": \"Complex issue with valid extremes.\"\n },\n \"Homosexuality\": {\n \"selected\": \"Always justifiable\",\n \"reason\": \"Love is a fundamental human right.\"\n },\n \"dealing with people?\": {\n \"selected\": \"Most people can be trusted\",\n \"reason\": \"Trust builds stronger social connections.\"\n },\n \"Signing a petition\": {\n \"selected\": \"Have done\",\n \"reason\": \"Easy way to support causes.\"\n },\n \"Attending peaceful demonstrations\": {\n \"selected\": \"Might do\",\n \"reason\": \"Depends on the specific cause.\"\n },\n \"Joining in boycotts\": {\n \"selected\": \"Have done\",\n \"reason\": \"Effective economic pressure for change.\"\n }\n },\n \"child_qualities\": {\n \"selected\": [\n \"Feeling of responsibility\",\n \"Tolerance and respect for other people\",\n \"Independence\",\n \"Hard work\",\n \"Determination, perseverance\"\n ],\n \"reason\": \"Essential traits for successful adulthood.\"\n }\n}", "reasoning": null, "refusal": null, "role": "assistant"}, "native_finish_reason": "stop"}], "created": 1789811397, "id": "gen-1789811397-3q4GCaZA69pr4CDQvOHn", "model": "qwen/qwen3.7-plus", "object": "chat.completion", "openrouter_metadata": {"attempt": 1, "endpoints": {"available": [{"model": "qwen/qwen3.7-plus-20260602", "provider": "Alibaba", "selected": true}], "total": 1}, "generation_time": 4832, "is_byok": false, "region": "PER", "requested": "qwen/qwen3.7-plus", "strategy": "direct", "summary": "available=1, selected=Alibaba"}, "provider": "Alibaba", "service_tier": null, "system_fingerprint": null, "usage": {"completion_tokens": 351, "completion_tokens_details": {"audio_tokens": 0, "image_tokens": 0, "reasoning_tokens": 0}, "cost": 0.00078752, "cost_details": {"upstream_inference_completions_cost": 0.00044928, "upstream_inference_cost": 0.00078752, "upstream_inference_prompt_cost": 0.00033824}, "is_byok": false, "prompt_tokens": 1057, "prompt_tokens_details": {"audio_tokens": 0, "cache_write_tokens": 0, "cached_tokens": 0, "video_tokens": 0}, "total_tokens": 1408}}, "run_id": "smoke_run", "seed": 392427931, "usage": {"completion_tokens": 351, "completion_tokens_details": {"audio_tokens": 0, "image_tokens": 0, "reasoning_tokens": 0}, "cost": 0.00078752, "cost_details": {"upstream_inference_completions_cost": 0.00044928, "upstream_inference_cost": 0.00078752, "upstream_inference_prompt_cost": 0.00033824}, "is_byok": false, "prompt_tokens": 1057, "prompt_tokens_details": {"audio_tokens": 0, "cache_write_tokens": 0, "cached_tokens": 0, "video_tokens": 0}, "total_tokens": 1408}} {"eval_version": "wvs-respondent-packet-v2", "event": "respondent_parsed", "model": "qwen/qwen3.7-plus", "packet": 0, "parsed": true, "phase": "initial", "protocol_id": "ac096d112f2215694bf56ba56a34790d0f1967dc1f740b23a4e836bfbf620426", "recorded_at_utc": "2026-09-19T09:50:03.039334+00:00", "refusal_kind": null, "request_id": "smoke_run_000", "rescued": false, "row": {"Abortion": {"outcome": "substantive", "reason": "Complex issue with valid extremes.", "reason_status": "valid", "selected": "5"}, "Attending peaceful demonstrations": {"outcome": "substantive", "reason": "Depends on the specific cause.", "reason_status": "valid", "selected": "Might do"}, "ChildQualities": {"outcome": "substantive", "reason": "Essential traits for successful adulthood.", "reason_status": "valid", "selected": ["Feeling of responsibility", "Tolerance and respect for other people", "Independence", "Hard work", "Determination, perseverance"]}, "God": {"outcome": "substantive", "reason": "I rely on scientific understanding.", "reason_status": "valid", "selected": "No"}, "Homosexuality": {"outcome": "substantive", "reason": "Love is a fundamental human right.", "reason_status": "valid", "selected": "Always justifiable"}, "Joining in boycotts": {"outcome": "substantive", "reason": "Effective economic pressure for change.", "reason_status": "valid", "selected": "Have done"}, "Religion": {"outcome": "substantive", "reason": "Guided by ethics, not dogma.", "reason_status": "valid", "selected": "Not very important"}, "Signing a petition": {"outcome": "substantive", "reason": "Easy way to support causes.", "reason_status": "valid", "selected": "Have done"}, "dealing with people?": {"outcome": "substantive", "reason": "Trust builds stronger social connections.", "reason_status": "valid", "selected": "Most people can be trusted"}}, "run_id": "smoke_run", "seed": 392427931, "text": "{\n \"answers\": {\n \"Religion\": {\n \"selected\": \"Not very important\",\n \"reason\": \"Guided by ethics, not dogma.\"\n },\n \"God\": {\n \"selected\": \"No\",\n \"reason\": \"I rely on scientific understanding.\"\n },\n \"Abortion\": {\n \"selected\": \"5\",\n \"reason\": \"Complex issue with valid extremes.\"\n },\n \"Homosexuality\": {\n \"selected\": \"Always justifiable\",\n \"reason\": \"Love is a fundamental human right.\"\n },\n \"dealing with people?\": {\n \"selected\": \"Most people can be trusted\",\n \"reason\": \"Trust builds stronger social connections.\"\n },\n \"Signing a petition\": {\n \"selected\": \"Have done\",\n \"reason\": \"Easy way to support causes.\"\n },\n \"Attending peaceful demonstrations\": {\n \"selected\": \"Might do\",\n \"reason\": \"Depends on the specific cause.\"\n },\n \"Joining in boycotts\": {\n \"selected\": \"Have done\",\n \"reason\": \"Effective economic pressure for change.\"\n }\n },\n \"child_qualities\": {\n \"selected\": [\n \"Feeling of responsibility\",\n \"Tolerance and respect for other people\",\n \"Independence\",\n \"Hard work\",\n \"Determination, perseverance\"\n ],\n \"reason\": \"Essential traits for successful adulthood.\"\n }\n}"} +{"eval_version": "wvs-respondent-packet-v2", "event": "request_started", "model": "qwen/qwen3.5-plus-02-15", "packet": 0, "payload": {"max_tokens": 2048, "messages": [{"content": "You are one person answering a social values survey. Answer every question as yourself, in order: choose the listed answer first, then give its short reason. Return one JSON object matching the required schema.\n\n1. For each of the following aspects, indicate how important it is in your life. Would you say it is very important, rather important, not very important or not important at all\n\nReligion\n A. Very important\n B. Rather important\n C. Not very important\n D. Not at all important\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n2. In which of the following things do you believe, if you believe in any?\n\nGod\n A. Yes\n B. No\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n3. Please tell me for each of the following statements whether you think it can always be justified, never be justified, or something in between, using this card.\n\nAbortion\n A. Never justifiable\n B. 2\n C. 3\n D. 4\n E. 5\n F. 6\n G. 7\n H. 8\n I. 9\n J. Always justifiable\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n4. Please tell me for each of the following statements whether you think it can always be justified, never be justified, or something in between, using this card.\n\nHomosexuality\n A. Never justifiable\n B. 2\n C. 3\n D. 4\n E. 5\n F. 6\n G. 7\n H. 8\n I. 9\n J. Always justifiable\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n5. Generally speaking, would you say that most people can be trusted or that you need to be very careful in dealing with people?\n A. Most people can be trusted\n B. Need to be very careful\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n6. Now I'd like you to look at this card. I'm going to read out some different forms of political action that people can take, and I'd like you to tell me, for each one, whether you have actually done any of these things, whether you might do it or would never, under any circumstances, do it.\n\nSigning a petition\n A. Have done\n B. Might do\n C. Would never do\nChoose exactly one option; if none fits exactly, choose the closest. Then give a short English reason in at most eight words.\n\n7. Now I'd like you to look at this card. I'm going to read out some different forms of political action that people can take, and I'd like you to tell me, for each one, whether you have actually done any of these things, whether you might do it or would never, under any circumstances, do it.\n\nAttending peaceful demonstrations\n A. Have done\n B. Might do\n C. Would never do\nChoose exactly one option; if none fits exactly, choose the closest. 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Religious faith\nChoose up to five; give an empty list if none. 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