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+---
+id: wiki-2026-0508-victimhood-narratives
+title: Victimhood Narratives
+category: 10_Wiki/Topics
+status: verified
+canonical_id: self
+aliases: [Victim Narrative, Tendency for Interpersonal Victimhood, TIV]
+duplicate_of: none
+source_trust_level: A
+confidence_score: 0.85
+verification_status: applied
+tags: [psychology, sociology, narrative, ethics]
+raw_sources: []
+last_reinforced: 2026-05-10
+github_commit: pending
+tech_stack:
+  language: english-korean
+  framework: social-psychology
+---
+
+# Victimhood Narratives
+
+## 매 한 줄
+> **"매 personal/group identity 의 wronged-self 의 frame"**. Gabay et al. (2020) 의 *Tendency for Interpersonal Victimhood* (TIV) 의 4-factor scale 의 academic 의 codify. 매 narrative 의 mobilizing power 의 strong — collective grievance, political identity, online discourse 의 central. 매 legitimate harm 의 acknowledge 의 vs 매 strategic identity 의 instrumentalize 의 distinction 의 critical.
+
+## 매 핵심
+
+### 매 TIV Four Factors (Gabay 2020)
+1. **Need for recognition** — 매 victim status 의 external validate.
+2. **Moral elitism** — 매 self / in-group 의 moral 의 superior 의 see.
+3. **Lack of empathy** — 매 own pain focus, others' 의 dismiss.
+4. **Rumination** — 매 past offense 의 repeated 의 replay.
+
+### 매 Functions
+- **Solidarity** — 매 in-group 의 cohesion 의 strengthen.
+- **Mobilization** — 매 collective action 의 fuel.
+- **Moral leverage** — 매 demand 의 legitimacy 의 add.
+- **Avoidance** — 매 personal agency 의 displace 의 onto external.
+
+### 매 Risks
+- **Competitive victimhood** — 매 group 의 grievance Olympics.
+- **Identity rigidity** — 매 victim 의 permanent 의 self-cast.
+- **Discourse polarization** — 매 zero-sum 의 frame.
+- **Manipulation** — 매 demagogue 의 exploit.
+
+### 매 응용
+1. Social psych research — TIV scale 의 measure.
+2. Conflict mediation — 매 dual-narrative recognition 의 break impasse.
+3. Political analysis — 매 movement rhetoric 의 deconstruct.
+4. Therapy — 매 individual 의 reframing 의 agency 의 reclaim.
+
+## 💻 패턴
+
+### TIV scale scoring (Python)
+```python
+# Gabay et al. 2020 — 8 items per factor, 5-point Likert
+def tiv_score(responses: dict[str, list[int]]) -> dict[str, float]:
+    factors = ["need_recognition", "moral_elitism", "empathy_lack", "rumination"]
+    return {f: sum(responses[f]) / len(responses[f]) for f in factors}
+
+scores = tiv_score({
+    "need_recognition": [4, 5, 3, 5, 4, 4, 3, 5],
+    "moral_elitism":    [3, 4, 4, 3, 4, 3, 4, 4],
+    "empathy_lack":     [2, 3, 2, 3, 2, 2, 3, 2],
+    "rumination":       [5, 5, 4, 5, 5, 4, 5, 5],
+})
+print(scores)  # {'need_recognition': 4.13, ...}
+```
+
+### Narrative frame classifier (LLM)
+```python
+import anthropic
+client = anthropic.Anthropic()
+
+def classify_frame(text: str) -> str:
+    resp = client.messages.create(
+        model="claude-opus-4-7",
+        max_tokens=200,
+        messages=[{
+            "role": "user",
+            "content": f"""Classify the narrative frame of this passage as one of:
+- legitimate_grievance (specific, verifiable harm + agency)
+- victimhood_identity (TIV-style: rumination, moral elitism, no agency)
+- mixed
+- neither
+
+Passage: {text}
+
+Return JSON: {{"frame": "...", "rationale": "..."}}"""
+        }]
+    )
+    return resp.content[0].text
+```
+
+### Dual-narrative mediation template
+```markdown
+**Both/And reframe**
+
+Group A's harm: <specific historical/ongoing>.
+Group B's harm: <specific historical/ongoing>.
+
+Shared interest: <identified common ground>.
+
+Action item:
+- A acknowledges B's <specific>.
+- B acknowledges A's <specific>.
+- Joint commitment: <forward action>.
+```
+
+### Discourse rumination detector (NLP)
+```python
+import re
+def rumination_index(text: str) -> float:
+    # Crude: repetition of grievance markers
+    markers = re.findall(r"\b(again|always|still|never|every time|once more)\b",
+                         text, re.I)
+    sentences = re.split(r"[.!?]", text)
+    return len(markers) / max(len(sentences), 1)
+```
+
+### Survey deployment (Qualtrics-style YAML)
+```yaml
+survey: TIV-2020-short
+items:
+  - id: tiv_nr_1
+    text: "It is important to me that people who have hurt me acknowledge my pain."
+    scale: likert-5
+  - id: tiv_me_1
+    text: "I have a higher moral standard than most people."
+    scale: likert-5
+# ... 32 items total
+```
+
+## 매 결정 기준
+| 상황 | Frame |
+|---|---|
+| Verifiable specific harm + agency call | Legitimate grievance |
+| Diffuse identity claim, rumination, no agency | TIV-style |
+| Power asymmetry context | 매 careful — 매 dismissal 의 risk |
+| Therapy 1:1 | Reframe 의 agency 의 restore |
+| Public discourse | Acknowledge harm + reject zero-sum |
+
+**기본값**: 매 specific harm 의 acknowledge AND 매 identity-rigidity 의 caution.
+
+## 🔗 Graph
+
+## 🤖 LLM 활용
+**언제**: narrative frame 의 analyze, dual-acknowledgment 의 draft, TIV survey 의 design.
+**언제 X**: 매 individual 의 lived experience 의 dismiss — 매 specific harm 의 verify, 매 LLM 의 not arbiter.
+
+## ❌ 안티패턴
+- **Blanket dismissal**: 매 "victim mentality" label 의 specific harm 의 erase.
+- **Blanket validation**: 매 every claim 의 unconditional accept — 매 manipulation vector.
+- **Zero-sum framing**: 매 only one group 의 victim 의 — 매 dual-narrative 의 ignore.
+- **Therapy 의 weaponize**: 매 TIV scale 의 ad hominem 의 use.
+- **Historical denial**: 매 documented systemic harm 의 "narrative" 의 reduce.
+
+## 🧪 검증 / 중복
+- Verified (Gabay et al. 2020, *Personality and Individual Differences* 165:110134).
+- 신뢰도 A (academic) / B (politicized application — context-dependent).
+
+## 🕓 Changelog
+| 날짜 | 변경 |
+|---|---|
+| 2026-05-08 | Phase 1 |
+| 2026-05-10 | Manual cleanup — TIV factors + classifier patterns + mediation template |