show_steer gains a rubric= param and rubric_score(): the model rates a 0-9 axis,
we force the {"ans": slot and read the logprob-weighted expected digit. guided.py's
mechanism reduced to one scalar for the demo (rigorous K-way debiased version stays
in moral-maps). UAT (scripts/scratch/uat_rubric.py) on happy/joy: in the coherent
window ans rises 3.52->4.99->8.06 across C=-0.5,0,+0.5 (pmass=1.00); at the
degeneration extremes (C=+-1.5) pmass collapses to ~0 and the number is correctly
flagged meaningless.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
