Top-Band Abstain Hardening Handoff
The last runtime gaps are now explainable, source-scored, and safe to advance in narrow slices.
The remaining top-band runtime gaps are no longer an opaque abstain bucket. They are now classified by source strength, JD-context quality, title artifact risk, and sensitive-domain risk, while preserving the local-only runtime boundary.
What Changed
Added the top_band_abstain_hardening_v1 lane. It consumes the current repair queue and JD-aware context, chooses the strongest JD-context row per title, checks duplicate selected role-context IDs, and emits a row-level decision for every remaining abstain.
The lane deliberately does not change routing. It produces proof for the next bridge step by separating rows that can be considered after semantic QA from rows that must remain held.
Live Counts
| Category | Count | Meaning |
|---|---|---|
bridge_candidate_after_semantic_qa | 3 | Strong source-backed rows that may become caveated local fallbacks after semantic QA. |
sensitive_policy_hold | 18 | Rows with legal, finance, healthcare, education-minors, HR, privacy, or similar risks. |
repair_first | 8 | Rows with posting artifacts, thin snippets, or repair requirements. |
confirmation_required | 1 | Ambiguous role context that needs learner or source confirmation. |
Bridge candidates are content editor, auto parts coordinator, and cassandra dba. The remaining rows stay abstain.
Files
top_band_abstain_hardening.pytest_top_band_abstain_hardening.pytop_band_abstain_hardening_v1.jsonltop_band_abstain_hardening_v1.md/htmlUpdated .gitignore, cli.py, reports.py, and full_validation.json so the lane is discoverable and validated.
Verification
uv run pytest tests/test_top_band_abstain_hardening.py tests/test_top_band_runtime_contract_bridge.py tests/test_production_runtime_contracts.py tests/test_top_band_runtime_route_coverage.py tests/test_top_band_runtime_route_repair_queue.py tests/test_role_context_query.py -q uv run ruff check src/aina_data_engine/top_band_abstain_hardening.py tests/test_top_band_abstain_hardening.py src/aina_data_engine/cli.py src/aina_data_engine/reports.py uv run aina-data-engine --root /srv/aina/aina-data-engine-room top-band-abstain-hardening uv run aina-data-engine --root /srv/aina/aina-data-engine-room validate uv run aina-data-engine --root /srv/aina/aina-data-engine-room ain-506-p0-gate uv run aina-data-engine --root /srv/aina/aina-data-engine-room ain-510-retrieval-promotion-gate uv run aina-data-engine --root /srv/aina/aina-data-engine-room production-runtime-readiness
Validation now records the hardening receipt, candidate guardrails, abstain safety, and local-only runtime boundary as true.
Next Move
The next slice should create a semantic QA and caveated bridge lane for only the three candidates. It should not promote sensitive rows. It should keep case manager, teacher/education rows, legal rows, finance rows, healthcare rows, HR/privacy rows, and posting-artifact rows held until the corresponding repair or policy lane exists.
cd /srv/aina/aina-data-engine-room git status --short --branch uv run aina-data-engine --root /srv/aina/aina-data-engine-room top-band-abstain-hardening
Start with the three bridge candidates, but preserve the abstain boundary until semantic QA proves they deserve a caveated local fallback.