untracked files on main: dceb101 feat(#63): IMP-34 R1 donor capacity measured bound (u1+u2)

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<!DOCTYPE html>
<html lang="ko">
<head><meta charset="utf-8"><title>Holdout 합리성 평가</title><style>
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</style></head>
<body>
<h1>Holdout 합리성 평가 — V1~V4 실사용 가치 비교</h1>
<p><em>Holdout 3 섹션 × 각 버전 1위 프레임에 대해 사용자가 합리성을 <b>합리적 (○) / 애매 (△) / 비합리적 (×)</b> 3단계로 라벨링한 결과.</em></p>
<p><strong>주의 원칙</strong>: (a) V4 라벨(use_as_is/reject) 에 끌려가지 않음 — 사용자가 "이 프레임이 이 섹션에 실제로 합리적인가" 를 직접 판단. (b) 현 단계는 1위만 평가 — 대안 탐색(2~3위) 는 별도 단계.</p>
<h2>1. 요약 — V1~V4 합리성 점수</h2>
<table>
<thead>
<tr>
<th>버전</th>
<th style="text-align: right;">합리성 점수 (0~300)</th>
<th style="text-align: right;">비율</th>
<th style="text-align: right;">○</th>
<th style="text-align: right;">△</th>
<th style="text-align: right;">×</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>V1</strong> 🥈</td>
<td style="text-align: right;">100 / 300</td>
<td style="text-align: right;">33.3%</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">0</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td><strong>V2</strong></td>
<td style="text-align: right;">100 / 300</td>
<td style="text-align: right;">33.3%</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">0</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td><strong>V3</strong></td>
<td style="text-align: right;">30 / 300</td>
<td style="text-align: right;">10.0%</td>
<td style="text-align: right;">0</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">2</td>
</tr>
<tr>
<td><strong>V4</strong> 🥇</td>
<td style="text-align: right;">235 / 300</td>
<td style="text-align: right;">78.3%</td>
<td style="text-align: right;">2</td>
<td style="text-align: right;">1</td>
<td style="text-align: right;">0</td>
</tr>
</tbody>
</table>
<h2>2. 섹션별 라벨 상세</h2>
<h3>01-1 — 1. 용어 정의</h3>
<table class="eval-grid"><thead><tr><th>V1</th><th>V2</th><th>V3</th><th>V4</th></tr></thead><tbody><tr>
<td class="eval-cell rating-irrational"><img 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<td class="eval-cell rating-irrational"><img 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truncated
<td class="eval-cell rating-ambiguous"><img 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truncated
<td class="eval-cell rating-ambiguous"><img src="data:image/png;base64,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 truncated
</tr></tbody></table>
<h3>02-1 — 1. DX의 궁극적 목표</h3>
<table class="eval-grid"><thead><tr><th>V1</th><th>V2</th><th>V3</th><th>V4</th></tr></thead><tbody><tr>
<td class="eval-cell rating-rational"><img src="data:image/png;base64,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 truncated
<td class="eval-cell rating-irrational"><img src="data:image/png;base64,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 truncated
<td class="eval-cell rating-irrational"><img src="data:image/png;base64,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 truncated
<td class="eval-cell rating-rational"><img src="data:image/png;base64,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 truncated
</tr></tbody></table>
<h3>02-2.1 — 2.1 업무 수행 과정(Process)의 변화</h3>
<table class="eval-grid"><thead><tr><th>V1</th><th>V2</th><th>V3</th><th>V4</th></tr></thead><tbody><tr>
<td class="eval-cell rating-irrational"><img src="data:image/png;base64,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 truncated
<td class="eval-cell rating-rational"><img src="data:image/png;base64,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 truncated
<td class="eval-cell rating-irrational"><img src="data:image/png;base64,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 truncated
<td class="eval-cell rating-rational"><img src="data:image/png;base64,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 truncated
</tr></tbody></table>
<h2>3. 주요 관찰</h2>
<ul>
<li><strong>V2 고유 가치 확인</strong>: 섹션 <code>02-2.1</code> 에서 V1 × (비합리) 를 V2 가 ○ (합리) 로 교정. → V2 의 의미 축이 V1 키워드가 놓치는 케이스를 잡아낼 수 있다는 증거.</li>
<li><strong>V4 종합 판단 능력</strong>: 3/3 섹션에서 V4 가 다른 버전과 같거나 더 나은 합리성. 특히 02-1 (V2/V3 × → V4 ○) 과 02-2.1 (V1 × → V4 ○) 에서 V4 가 다른 축의 오답을 거르거나 좋은 신호를 선택.</li>
<li><strong>V3 현재 세팅의 한계</strong>: V3 합리성 비율 10.0% — 평균 이하. 현재 구조 호환도(<code>_COMPAT</code>) 가 오히려 잘못된 방향으로 유도하는 경우 있음 (예: 02-1 에서 V3 가 V1 의 올바른 1위를 밀어내고 비합리 프레임을 올림).</li>
<li><strong>V1 baseline 한계</strong>: 1/3 섹션만 합리 — V1 단독으로는 Holdout 난이도 케이스에 불충분함 확인.</li>
</ul>
<h2>4. 결론 — "V2 실사용 가치 증명" 여부</h2>
<p><strong>부분 증명</strong>. V2 가 V1 을 교정한 사례 <code>02-2.1</code> 가 있음. 다만 샘플 3건은 통계적 결론에 부족 — 추세를 보여주는 증거 수준.</p>
<p><strong>버전별 기여도 한 줄</strong>:</p>
<ul>
<li><strong>V1</strong> (키워드): 100/300 — baseline. 키워드가 명확히 대응될 때만 합리.</li>
<li><strong>V2</strong> (의미): 100/300 — V1 이 놓친 의미적 대응을 잡아낼 수 있음 (02-2.1 사례). 다만 키워드가 강한 경우 오히려 엉뚱한 방향으로 갈 위험도 있음 (02-1 사례).</li>
<li><strong>V3</strong> (구조): 30/300 — 현재 세팅에서는 기여 약함. 구조 taxonomy 재설계 시 재평가 필요.</li>
<li><strong>V4</strong> (종합 판단): 235/300 — 가장 균형 있음. V1/V2/V3 신호를 선별적으로 받아 최종 판단 잘 함.</li>
</ul>
<h2>5. 제한 + 다음 단계</h2>
<p><strong>제한</strong>:
- 라벨 샘플 3건 (통계적 결론 부족)
- 1위만 평가 — 대안 탐색(2~3위) 능력 미검증
- 라벨 자체가 사용자 1인 판단 — 검토자 합의 없음</p>
<p><strong>다음 단계 후보</strong>:
- 옵션 3 (새 TARGET 추가) — 유형 B 케이스 확보
- Top-3 라벨링 확장 — 대안 탐색 평가
- V3 taxonomy 재설계 (현재 V3 약세 해결 시도)
- Holdout 정답 특정 가능하면 옵션 1 로 정량 평가 보강</p>
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