Assistant: codex Assistant-Model: gpt-6.1-sol Assistant-Session: 01a1045b-933d-7aa1-b2db-104557487a79
44 lines
2.3 KiB
Markdown
44 lines
2.3 KiB
Markdown
# Fresh presentation replication 02
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WP-0009 T02 implementation: six new authored variants, six atomic criteria per
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scenario, two equivalent guidance presentations and twelve isolated prompts.
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The prior consumed pilot remains separate and unchanged. This replication is not
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held-out M3 retrieval, a real consumer use or independent human validation.
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The [protocol](protocol.md) defines interpretation and budgets;
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[scenarios](scenarios.json) define the frozen obligations and prohibited claims.
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`pack-equivalence.json` records shared body/source hashes. `freeze.json` pins all
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inputs, prompts, assignment and code plus immutable reference version/corpus/package.
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The public assignment supports auditing but makes future masking procedural.
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Commands from the repository root:
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```bash
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make replication-check replication-test
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```
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The user authorized up to twelve llm-connect calls at a requested 1,400-output-token
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cap per call with no retries. Execution occurs only after a committed freeze:
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```bash
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PYTHONDONTWRITEBYTECODE=1 ../infospace-bench/.venv/bin/python scripts/language_replication.py run --max-calls 12
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```
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The runner reserves attempts before requests. A second invocation skips every reserved
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session and can call only unstarted sessions within the aggregate ceiling; it never
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retries a failed/interrupted attempt. Raw receipts preserve usage, model identity,
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output hashes and failed responses. Scoring reads `masked/` before opening the key.
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Copy the empty `scores-template.json`, disclose reviewer role and prior exposure,
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record binary scores with quotes/locators and reasons, and list unsupported claims
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separately. Null means unavailable or unreviewed; it is never a default zero.
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```bash
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python3 scripts/language_replication.py scores-check --scores <review-file.json> --complete
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python3 scripts/language_replication.py summarize --scores <review-file.json>
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```
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Validation checks structure and retained quotations/hashes; it does not assess semantic
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correctness or independently authenticate a declared reviewer. Keep initial ratings,
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disagreements and adjudication. A failed pair is excluded from quality counts, and no
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score automatically completes human review or M1. Actual execution/editorial outcomes
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are recorded here after the authorized run; independent-human scores remain pending.
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