Merge nucleic/jolly-coral-egret-smoz into dev
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@@ -205,6 +205,34 @@ Use a fresh `--output` path for the dry run, then manually audit it before invok
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full resumable run. Cases marked `recoverableFromFirst=false` remain `vague-eval`
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abstention evidence and are excluded from optimization.
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## Assistant-prose slice
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Context Switch (`docs/CONTEXT_SWITCH.md` §3.2) classifies the agent's settled-turn reply as
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well as the user's prompt, but everything above trains on prompts only. This slice adds the
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missing register from the same pinned snapshot: turn-ending `assistant_response` rows, with
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the student text produced by `prose_extract.py` — a port of the runtime's own
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`HeuristicSummary.contextSwitchReplyProse`, pinned to it by
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`Tests/NucleicCoreTests/Fixtures/context-switch-prose.json` so the model trains on exactly
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the text it is later asked to classify.
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```bash
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ml/purpose-classifier/.venv/bin/python \
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ml/purpose-classifier/export_swe_chat_prose.py \
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--revision <accepted-immutable-hf-revision>
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ml/purpose-classifier/.venv/bin/python \
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ml/purpose-classifier/label_swe_chat_prose.py --limit-replies 1
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ml/purpose-classifier/.venv/bin/python \
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ml/purpose-classifier/label_swe_chat_prose.py --limit-replies 100
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```
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The teacher reads the reply prose and the user message that opened the turn; only the prose
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reaches the canonical record, with the user message kept as a hash in the audit sidecar.
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`recoverableFromProse=false` is the reply-side counterpart of `recoverableFromFirst` and is
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likewise `vague-eval` evidence, never training data. A reply that only *offers* work
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("Should I start on the settings screen?") must be rejected rather than labeled with the
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work it asks about; the run prints `endingInQuestion` alongside `endingInQuestionRejected`
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so that rule can be verified on the dry run instead of assumed.
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## Prepare
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From the repository root:
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