Session C Batch Prompt — All Grey-Zone Resolutions
Usage: Hand this file to a fresh session: “Read
REE_assembly/docs/governance/session_c_batch_prompt.mdand execute.” This prompt is self-contained. It replaces running 14 individual Session C_n sessions with a single batched pass. The template’s single-focus discipline is preserved by resolving one entry at a time sequentially and committing per entry.
1. What this session does
Work through all 14 grey-zone invariants identified by Session B:
INV-004, INV-005, INV-006, INV-019, INV-020, INV-021, INV-024, INV-047, INV-048, INV-051, INV-061, INV-062, INV-063, INV-064
For each entry, apply the Session C_n decision procedure and land one of the five outcomes (universal | emergent | re-state | retract | reclassify claim_type). Commit per entry so each decision is separately reviewable. At the end, verify the audit registry is coherent and all 14 entries resolved (or explicit narrower grey-zone follow-ups recorded for any that cannot be decided).
2. Read these first (once, up front)
REE_assembly/docs/governance/session_c_template.md— decision framework and outcome application rules. This is the canonical procedure; the batch prompt does not replace it, only drives it.REE_assembly/docs/architecture/invariant_types.md— schema.REE_assembly/docs/governance/invariant_classification_audit.md— Session B’s per-entry reasoning and follow-up prompts.REE_assembly/docs/thoughts/2026-04-17_invariant_types_governance.md— planning doc (for escalation judgment if needed).
Do not read all 14 invariant YAML entries at the start — read each one only when you get to it, to keep judgments clean per the template’s single-focus rule.
3. Session setup
- Get UTC timestamp:
date -u +"%Y-%m-%dT%H:%M:%SZ". - Check
REE_Working/TASK_CLAIMS.jsonfor active claims ondocs/claims/claims.yamlordocs/governance/invariant_classification_audit.md. Pause if conflict. - Add your claim:
session_label: "session-c-batch-<date>-grey-zone-resolution"task: "Session C batch: resolve 14 grey-zone invariants"resources: ["REE_assembly/docs/claims/claims.yaml", "REE_assembly/docs/governance/invariant_classification_audit.md", "REE_assembly/docs/assets/data/claims.json", "REE_Working/WORKSPACE_STATE.md"]status: "active"
4. Execution order (grouped by theme)
Resolve in this order. Grouping is for your reading efficiency — the template’s “don’t read other grey-zones in the same session” rule still applies to the judgment for each entry. It is fine to process grouped entries one-after-another when the underlying substrate question is identical.
Group 1: clinical/phenomenological predictions (4 entries)
INV-047, INV-048, INV-061, INV-062.
These were flagged by user review (2026-04-17) as predictions that presume REE models human cognition — candidate for the reclassify claim_type outcome. Start with INV-047. If you conclude reclassification is correct:
- Check whether
docs/claims/claims.yamlschema already supports apredictionorderived_predictionclaim_type. Grep for otherclaim_type:values in use. - If such a type exists, apply the reclassification per template §4 “Outcome: reclassify claim_type.”
- If no such type exists: halt the batch and surface the schema gap to the user. Do not invent a type. Write the gap report into the audit registry’s INV-047 entry and stop the batch. Governance (you + user) decides the schema before continuing.
If the user (or you) concludes these should stay as invariants after all, apply the emergent-on-SD-017 / ARC-049 outcomes per template.
Decide INV-047 first; INV-048/061/062 should follow the same decision since the objection is shared. Commit the four as a single commit if the decision is uniform.
Group 2: axiom-aware invariants (3 entries)
INV-004, INV-005, INV-006.
All three are about post-commit responsibility / trace recording and have empty depends_on. Candidate outcomes:
- universal (responsibility is substrate-independent)
- emergent on ARC-013 (residue field) or SD-010 (harm stream)
Read the audit registry entries for each and apply the template. These are independent judgments — commit separately unless they genuinely decide identically.
Group 3: agency / commitment invariants (3 entries)
INV-019, INV-020, INV-021.
All three concern agency, counterfactual attribution, or commitment. Candidate substrates: SD-003 (self-attribution via counterfactual E2), ARC-016 (commitment boundary), SD-005 (z_self/z_world split). Read each audit registry entry; these are likely all emergent but on different substrate combinations. Commit separately.
Group 4: single-entry judgments (4 entries)
INV-024, INV-051, INV-063, INV-064.
Read each audit registry entry and apply the template. These are not thematically grouped; each is its own judgment. Commit separately.
5. Per-entry workflow
For each grey-zone entry:
- Re-read: the invariant’s section in the audit registry; its YAML entry; any
locationorsourcedoc listed. - Decide: work through template §3 Q1–Q5.
- Apply: edit claims.yaml per template §4. Edit the audit registry per template §5 (move entry to the correct bucket, update Summary counts).
- Validate:
/opt/local/bin/python3 scripts/validate_claims.py /opt/local/bin/python3 scripts/validate_claims.py --auditBucket counts must match what the audit registry Summary says.
- Rebuild:
/opt/local/bin/python3 scripts/build_claims_json.py. - Commit and push:
git add docs/claims/claims.yaml \ docs/assets/data/claims.json \ docs/governance/invariant_classification_audit.md git commit -m "Session C_n: resolve INV-XXX (<outcome>)" git push origin HEAD:masterOne commit per entry (or per uniform-decision group). Do not batch all 14 into one commit — per-entry commits make each decision independently reviewable and revertible.
If an entry cannot be decided confidently: apply the narrower grey-zone outcome per template §4, update the audit registry with a sharper follow-up question, and move on. Do not force a classification.
6. Halt conditions
Stop the batch and surface to user if:
- Schema gap (Group 1 clinical entries): no prediction claim_type exists in the schema. Governance decision needed before proceeding.
- Validator strict-mode error on any entry (shouldn’t occur since strict mode isn’t enabled yet, but any validator error below WARN halts).
- Substrate assertion wrong: you find that a substrate listed in
emergent_fromfor Session B’s classification does not actually underwrite the invariant’s subject. Update the entry (move back to grey zone with a sharper question) and note in commit. - ~4 consecutive entries forced into “narrower grey-zone”: suggests the template needs revision, not more sessions. Halt and report.
Do not halt for routine ambiguity — that’s what the narrower grey-zone outcome is for.
7. Completion
After all 14 are resolved (or explicitly deferred via narrower grey-zone):
- Verify audit registry Summary counts:
- Grey Zone count should be 0 (or equal to the number of deliberately-deferred narrower grey-zone entries).
- Universal + Emergent + Retracted + Reclassified counts should sum to 72 (universal + emergent + reclassified + retracted = 72 - residual_grey_zone).
- Run
validate_claims.py --auditone final time; confirm counts match the registry. - Run
bash scripts/governance.shto confirm the pipeline still runs cleanly end-to-end. - Update
REE_Working/WORKSPACE_STATE.mdwith a single Recent Work entry summarizing the batch — list outcomes per entry as a bullet summary, not full reasoning (reasoning lives in the audit registry). - Mark your TASK_CLAIMS.json entry
status: "done". - Final summary to user: counts, any halts, any residual grey zones with rationale.
8. Out of scope for this batch
- Session D tasks (validator strict mode, substrate-change reporting). That is a separate session after this batch lands.
- Modifying substrate (SD/ARC) entries. If a decision reveals a substrate needs re-scoping, note it in the commit message and move on.
- Revisiting Session B’s universal or emergent classifications. Only the 14 grey zones are in scope.
- Adding new invariants, new substrates, or new MECHs.
9. Key principle
The batched format is a scheduling convenience, not a license to rush. Each of the 14 decisions is still a single-focus judgment governed by session_c_template.md. The batch succeeds if each entry gets the same quality of decision a dedicated Session C_n would have produced. If that requires pausing the batch to think, pause the batch.
The registry is more valuable with 10 well-resolved entries + 4 honest narrower grey-zones than with 14 forced classifications.