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Claude
c9b9eafef6
Owner's daylight ruling: corridors need it; retract the 61% headline
Ruling: corridors need daylight. Only rooms not occupied from day to day --
a cupboard, a store, a plant room -- do without it.

That overturns the classification 38.8 and 38.9 rested on. Those sections
exempted internal circulation, covered courtyards, WCs, laundries and
reception on my inference rather than any ruling. None are exempt: a
corridor is occupied all day every day, a waiting room likewise, a laundry
is a room people spend time in, a sterilisation room is a workplace.

Re-measured with the classification READ FROM THE CORPUS (a space is exempt
exactly when its own patterns.config declares crinkliness: none) instead of
inferred: 24 of 271 crinkliness fails (9%) were not defects -- not 136
(50%), not 61%. Overstated by about six times.

  - uncrinkliness_circulation stays at [5/6, 1.1/3]. 38.10 called its
    equality with the habitable target the purest case of an untuned value;
    it is not a bug, it is the correct answer reached by default, since
    corridors want daylight on the same terms as rooms.
  - corpus declarations narrowed 18 -> 14. usage: utility was too coarse and
    swept in Laundry Rooms and a Sterilisation Room. What remains is
    storage, plant/mechanical, utilities closets and a records room.
  - audit_crinkliness_truth.py rebuilt to read the classification from the
    configs rather than infer it from usage:, so it cannot drift from the
    ruling again.
  - 38.8/38.9's inflated figures flagged in place, with 38.11 carrying the
    correction.

What survives, none of it dependent on the classification: the 38.6
critique of the three modes; usage_daylight being mis-keyed; the 38.8 A/B
yardstick being wrong; and the per-space crinkliness mechanism itself.

ssz's opening measurement was right but its reading was wrong -- under this
ruling a buried leaf usually IS a defect, so scoring it zero is largely
correct. The narrowed remnant is that the score is FLAT rather than low, so
two equally-buried layouts cannot be ranked. Filed as homemaker-py-9gj; it
is a search-mechanics problem, not a calibration one.

Lint at parity (46); tests 369 passed, 2 pre-existing failures (ut5's stale
baseline and 1ue), both failing identically before this change.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
2026-08-28 23:14:21 +00:00
Claude
055d7101cd
ssz: crinkliness is declared per space; there is no daylight attribute
Owner's ruling, and it corrects the design not just the classification: the
daylight requirement is already defined in the crinkliness. The gaussian's
compact side IS "too little exposed wall per unit floor"; its exposed side
is envelope cost. 38.9's proposed daylight: axis was redundant, and keying
it off usage: was worse than redundant.

What was actually missing: crinkliness is the only leaf quality factor with
no per-space target. size, width and proportion are all declared by the
space; crinkliness was one global number for every room in every building.

  crinkliness: none        -> no minimum-exposure requirement, may be buried
  crinkliness: [t, s]      -> this space's own target
  key absent               -> the global uncrinkliness target, as today

`none` clips the factor on the compact side, it does not switch it off:
over-exposure is still penalised, because a crinkly leaf costs envelope
whatever it holds. A store may be buried; a store may not be a starfish.

The mechanism is backward compatible -- an absent key resolves to the
global target, so shipping it changes no score. Behaviour changes only
where a config declares something, which keeps the objective change
visible per programme in config rather than hidden in a default.

Owner's classification: everything a person occupies wants a window, WCs
and reception/waiting/foyer included; only stores, plant, records and
laundry do not. migrate_crinkliness_key.py declared crinkliness: none on 18
corpus spaces. Crinkliness fails 271 -> 243, of which not-defects 136 (50%)
-> 108 (44%); the 28 that went are exactly the utility fails.

usage_daylight and needs_daylight are removed as mis-keyed, and
DAYLIGHT_USAGES with them -- a vocabulary value should exist only where the
engine treats it differently. The historical crinkliness_mode modes stay,
default off, so 38.6/38.8 remain reproducible.

uncrinkliness_circulation is now settable to none like any space, but its
default is left unchanged pending a ruling: corridors were not among the
groups ruled on and are 63% of the remaining phantom fails.

Lint at parity (46); tests 364 passed, same 7 pre-existing fixture failures.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
2026-08-28 22:39:09 +00:00
Claude
bb27a5e548
ssz: 61% of reported crinkliness fails are not defects; two corrections
Correction 1: 38.8's A/B scores every arm under stock urb, which is only
sound if stock is ground truth -- and stock is what this section shows is
miscalibrated. Scoring the repair under the objective it repairs penalises
it for repairing. That result is not evidence against usage_daylight.

The measurement that matters needs no search: are the emitted failures
true? audit_crinkliness_truth.py classifies every stock crinkliness fail by
the leaf's declared usage. 164 of 271 (61%) are reported against spaces
that want no daylight -- stores, WCs, plant, corridors, covered courtyards
-- and it holds on evolved artefacts (maple generated.dom: 64%), not just
constructed seeds. Under value *= 0.5 ** len(failures) each one halves the
fitness of a design that did nothing wrong.

Correction 2: usage: is the wrong key, and usage_daylight as written
mis-keys it. 39.7 established usage: as an ACCESS-requirement class.
"Needs no special access" and "needs no window" are different questions,
and the corpus separates them: usage: none is Waiting Room, Reception,
Reception Office, Entrance Foyer -- a waiting room plainly wants daylight
and DAYLIGHT_USAGES exempts it. The usage: bedroom half is right, but by
luck of where the access axis happened to fall.

The audit is robust to that error (61% -> 57% if none is reclassified), so
the finding stands; the design does not. Daylight needs its own declared
per-space axis, decided by the programme author as usage: was.

usage_daylight stays default off and is not the shipping fix. The
compact-side clip is the right shape for the factor, so the mechanism is
retained pending a daylight: attribute to key it on.

Higher-power A/B stopped: it was chasing a score against a flawed objective
with a mis-keyed fix.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
2026-08-26 18:07:01 +00:00