Methodology fix: gen_real_queries.go gains -offset N flag. Every prior
real_NNN test sourced queries from rows 0-9 of fill_events.parquet
(default -limit 10), so the substrate's published "8/10 cold-pass top-1
= judge-best" was measured on a memorized slice, not held-out data.
real_006 samples 50 fresh rows (offset 10, never seen by the workers
or ethereal_workers corpora). Same harness, same local qwen2.5:latest
judge, same K=10. ~14 min wall total. Local-only, no cloud calls.
Headline findings:
- Cold-pass top-1 = judge-best (rank match): 41/50 (82%) vs real_001's
8/10 (80%) — substrate generalizes at rank level.
- Strict (rating ≥ 2): 34/50 (68%) — 12-point drop from real_001's
80%. ~7 of 41 "no-discovery" queries had cold top-1 the judge rated
1; the corpus has gaps for some role-city combos in the v3 slice.
- Verbatim lift: 9/9 discoveries → warm top-1 (clean, matches real_001 2/2)
- Paraphrase recovery: 6/9 → top-1, 9/9 any-rank
- Quality regressed: 3/50 — Q43 is the structural one
Q43 (Packer at Midway Distribution / Chicago IL) regressed from
rating 5 to rating 2 on warm pass with `warm_boosted_count=0` and
`playbook_recorded=false`. Q18 (Shipping Clerks at the same client+city)
recorded a playbook entry. The regression suggests Q18's recording
leaked into Q43 via the warm-pass playbook corpus retrieval surface
even though the role gate from real_002 should have blocked it.
Three possible paths: extractor failed on one query, gate fires on
boost path but not Shape B inject, or cosine drift puts the recorded
worker close enough to Q43's embedding that warm-pass retrieval picks
it up directly. Diagnosis is the next move.
Three same-(client, city) clusters tested:
- Heritage Foods Gary IN × 3 distinct roles: clean, distinct workers
- Riverfront Steel Columbus OH × 4: cosine-level confusion (Q9/Q25
surface same worker w-281 for Assemblers vs Quality Techs at cold-
pass), but no playbook bleed
- Midway Distribution Chicago IL × 3: Q43 regression as above
What this confirms: substrate works on the fresh distribution at the
rank level, verbatim lift is real, paraphrase recovery is real.
What this falsifies: real_002's role-gate fix is not structurally
airtight. The bleed pattern can still fire under conditions the
prior tests didn't reach.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Stress-tests the role gate with 40 queries (10 fill_events rows × 4
styles): need, client_first, looking, shorthand. Each row's role +
client + city stays the same; only the surface phrasing changes.
real_003 (original extractor) confirmed the shorthand-vs-shorthand
failure mode: CNC Operator shorthand recording leaked w-2404 onto
Forklift Operator shorthand query within the same Beacon Freight
Detroit cluster. Both record + query had empty role (extractor
returns "" for shorthand because there's no separator between role
and city), gate disabled, distance check passed, bleed fired.
Fix: extended extractRoleFromNeed to handle client_first
("{client} needs N {role} in...") and looking ("Looking for N
{role} at...") patterns. Shorthand left intentionally unmatched —
"Forklift Operator Detroit" is shape-indistinguishable from
"Forklift" + "Operator Detroit" without an LLM extractor or known-
cities lookup.
real_003b (extended extractor) verifies bleed closed across all 4
styles for this dataset. Forklift Operator queries keep w-2136 (the
cold-pass-correct match) regardless of which style the query came
in. Same-role boosts now fire correctly across styles — a CNC
Operator recording made in `looking` style boosts the CNC need-form
query.
scripts/cutover/gen_real_queries.go: added -styles flag with values
need|client_first|looking|shorthand|all (default need preserves
real_001/002 behavior). Tests/reality/real_coord_queries_v2.txt is
the 40-query stress file.
scripts/playbook_lift/main_test.go: 10 sub-tests lock the four
documented patterns + shorthand limitation + lift-suite-style
queries (no clean role, returns empty as expected).
Aggregate metrics:
- real_003 (original): disc=7, lift=7, boost=14, meanΔ=-0.108
- real_003b (extended): disc=11, lift=10, boost=31, meanΔ=-0.202
The growth reflects more LEGITIMATE same-role same-cluster transfer
firing across styles, not bleed (verified by per-cluster bleed
table — Forklift Operator queries unchanged across all 4 styles).
Known limitation documented in real_003_findings.md: same-cluster,
same-role queries in shorthand still embed close enough that a
shorthand recording could bleed onto a different-role shorthand
query if both record + query strip role. Closing this requires
LLM extraction or known-cities lookup at record + query time.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
First retrieval probe with non-synthetic query distribution. Pulls
N rows from /home/profit/lakehouse/data/datasets/fill_events.parquet
(real-shape demand data) and translates each to the natural language
a coordinator would type: "Need {count} {role}s in {city} {state}
starting at {at} for {client}".
Headline: 8/10 cold-pass top-1 = judge-best on real distribution.
Substrate works on queries it was never trained for. v2-moe + workers
corpus carry the load.
Surfaced finding (the real value of running this): same-client+city
queries cluster, and Shape A's distance boost bleeds across roles
within the cluster. Q#2 (Forklift @ Beacon Freight Detroit) records
e-6193 in the playbook corpus. Q#5 (Pickers same client+city) and
Q#10 (CNC Operator same client+city) inherit e-6193 at warm top-1
even though:
- Neither query has its own recorded playbook.
- Neither warm pass triggers a Shape B inject (boosted=0).
- The roles are different staffing categories.
Q#10 specifically demoted the cold-pass-correct w-3759 (judge rating
4 at rank 0) for a worker who was approved by the judge for a
different role on a different query.
Why the lift suite missed it: synthetic queries use 7 disjoint
scenario buckets (forklift+OSHA+WI / CDL+IL / etc.). Real demand
clusters on (client, city). The cluster doesn't exist in the
synthetic distribution.
Why the judge gate doesn't catch it: the gate (5a3364f) is
per-injection at record time. After approval the worker rides Shape A
distance boosts on all later same-cluster queries with no second
gate call.
Becomes new OPEN #1. Fix candidate: role-scoped playbook corpus
metadata + Shape A boost gate on role match. Cheap; doesn't need
new judge calls.
Files:
- scripts/cutover/gen_real_queries.go: parquet → coordinator NL
- tests/reality/real_coord_queries.txt: 10 generated queries
- reports/reality-tests/playbook_lift_real_001.md: harness output
- reports/reality-tests/real_001_findings.md: the reading
Repro:
go run scripts/cutover/gen_real_queries.go -limit 10 > tests/reality/real_coord_queries.txt
QUERIES_FILE=tests/reality/real_coord_queries.txt RUN_ID=real_001 \
WITH_PARAPHRASE=0 WITH_REJUDGE=0 ./scripts/playbook_lift.sh
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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