대시보드 폴드아웃/드릴다운 정리 + 페르소나 역린·misconduct 반응 + 게이트웨이 격리·RAG 비차단 수정
SSOT 대시보드:
- 한신대 기술분석 PDF(19쪽) 정합성 분석 + 이번 세션 발견 섹션 추가
- 섹션 폴드아웃(접기)·상단 목차(드릴다운)·모두 펼치기/접기 — 내용 보존, 레이아웃만 정리
페르소나 반응 강화('저항·반응 조절' 핵심 차별):
- PersonaCard.triggers(역린) 필드 + CCD 핵심상처 파생 역린 블록
- L0에 무례·모욕·조롱 시 현실적 동맹 균열 반응 지침
버그·성능 수정(라이브/E2E로 포착):
- 게이트웨이 페르소나 격리: --append-system-prompt를 --system-prompt(교체)로 + --exclude-dynamic-system-prompt-sections (내담자 캐릭터 붕괴·개발맥락 누출 차단)
- RAG: 임베더 동기 로드(약 7-13초)를 _warm_rag_caches 백그라운드 warm으로(세션 생성 블로킹 회귀 수정)
- voice TTS RMS 데드힌트 제거, init_state OpennessParams 파라미터객체화
- 한국어 PII(날짜·금액·주소) 마스킹 보강
- 레이아웃 시각 게이트: 폼 컨트롤 값 스크롤 오탐 제외(7/7)
검증: 백엔드 84/84, E2E 42(데스크톱 27·모바일 11·아바타 4), 시각 게이트 7/7
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docs/phase3/dataset-export-manifest.md
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docs/phase3/dataset-export-manifest.md
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# Phase 3 Anonymized Dataset Export Manifest
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## Purpose
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Define the manifest and JSONL expectations for the first recursive-learning dataset
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artifact. The export is allowed only after consent scope, withdrawal state, PII masking,
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and reviewer agreement are documented.
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Primary evidence file: `03-export/export_manifest.json`
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## Export Gate
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The export may be marked `approved_for_recursive_learning_seed` only when:
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- Source participants are active or otherwise allowed by consent scope at export time.
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- Withdrawn participants are excluded according to the approved withdrawal policy.
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- Direct identifiers and raw identity mapping are absent from exported files.
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- Free text is masked or transformed according to the manifest.
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- PII scan is pass, or every finding has a reviewer disposition.
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- IAA gates pass for gold exports: kappa >=0.60 and ICC >=0.75.
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- Legal/data-steward review is complete.
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If any gate is missing, set `export_status` to `technical_dry_run` or `blocked`, not
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`approved_for_recursive_learning_seed`.
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## Manifest Shape
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```json
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{
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"export_id": "phase3-rl-seed-YYYYMMDD-001",
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"dataset_name": "vignette_phase3_recursive_learning_seed",
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"export_status": "technical_dry_run",
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"created_at": "2026-06-26T00:00:00Z",
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"purpose": "recursive-learning seed dataset for education simulator improvement",
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"source_window": {
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"started_at": "2026-00-00T00:00:00Z",
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"ended_at": "2026-00-00T00:00:00Z"
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},
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"source_tables": [
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"app.sessions",
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"app.turns",
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"app.feedback_scores",
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"ds.annotation",
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"audit.persona_drift_log"
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],
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"selection_criteria": {
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"cohort_id": "phase3",
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"min_completed_sessions": 2,
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"include_withdrawn": false,
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"excluded_safety_scope": ["self_harm_scenario_primary"]
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},
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"consent_scope": {
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"consent_version": "",
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"allowed_uses": ["education_quality_review", "recursive_learning_seed"],
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"withdrawal_cutoff_applied_at": "",
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"participants_included": 0,
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"participants_excluded": 0
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},
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"anonymization": {
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"participant_key": "pseudonymous export key; no identity map included",
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"text_transform": "masked_text_only",
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"direct_identifier_policy": "blocked",
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"salt_or_identity_map_location": "not in export"
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},
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"pii_scan": {
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"tool": "",
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"version": "",
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"ran_at": "",
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"status": "pending",
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"findings": []
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},
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"agreement": {
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"kappa": null,
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"icc": null,
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"gold_status": "not_gold"
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},
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"files": [
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{
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"path": "03-export/anonymized_dataset.jsonl",
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"rows": 0,
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"sha256": "",
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"schema": "phase3_dataset_item_v1"
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}
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],
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"approvals": {
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"data_steward": "",
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"legal_or_privacy_reviewer": "",
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"technical_operator": "",
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"approved_at": ""
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},
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"known_limitations": []
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}
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```
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## JSONL Record Shape
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Each JSONL line must be one dataset item:
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```json
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{
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"schema": "phase3_dataset_item_v1",
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"item_id": "export-local-id",
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"participant_key": "PX-0001",
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"session_key": "SX-0001",
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"turn_key": "TX-0001",
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"persona_id": "P1",
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"stage": "rapport",
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"speaker": "counselor",
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"text_masked": "masked or transformed utterance text",
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"techniques": [],
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"client_states": [],
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"feedback_scores": [],
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"supervisor_comments": [],
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"source_refs": {
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"session_started_at": "2026-00-00T00:00:00Z",
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"export_manifest_id": "phase3-rl-seed-YYYYMMDD-001"
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},
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"privacy": {
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"direct_identifiers_removed": true,
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"pii_scan_status": "pass",
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"consent_scope": "recursive_learning_seed"
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}
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}
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```
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Blocked fields:
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- name
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- email
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- phone
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- student_id
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- national_id
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- address
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- date_of_birth
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- raw_audio_path
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- raw_voice
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- raw_source_case
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- identity_map
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- API keys, tokens, cookies, or credentials
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## Operator Commands
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Generate the export only through an approved read-only reporting job. Until that job is
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implemented, use the manifest as a contract and mark exports `technical_dry_run`.
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Validate artifact presence and headers:
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```powershell
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python scripts\check-phase3-artifacts.py --check --evidence-root $root
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```
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Write a validation report:
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```powershell
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python scripts\check-phase3-artifacts.py --check --evidence-root $root --output "$root\phase3_artifact_check.json"
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```
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Compute a file hash for the manifest:
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```powershell
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Get-FileHash "$root\03-export\anonymized_dataset.jsonl" -Algorithm SHA256
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```
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## Export Review Checklist
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- [ ] Manifest `export_status` matches the actual approval state.
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- [ ] Files listed in `files[]` exist and have row counts and SHA256 hashes.
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- [ ] `participants_included` plus `participants_excluded` matches the consent roster
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decision log.
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- [ ] `include_withdrawn` is false unless legal review explicitly approved otherwise.
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- [ ] Text fields use masked/transformed text only.
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- [ ] PII scan report is attached or referenced.
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- [ ] Agreement metrics match `02-measures/kpi_report.json`.
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- [ ] Export limitations state whether the file is gold data or a dry-run seed.
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