Understanding revenge cognitions among Jewish women survivors of intimate partner violence in Canada
Bibliographic record
Abstract
Abstract Background Revenge cognitions and behaviors are common responses following intimate partner violence (IPV) victimization, yet little is known about how survivors, particularly from religious minority communities, process these responses during recovery. Objective This study investigated how Jewish women IPV survivors conceptualize and navigate revenge‐related responses in the aftermath of IPV. Method Using a descriptive phenomenological‐psychological approach, data were collected through in‐depth interviews and focus groups with 79 Jewish Canadian women (aged 24–64) who had experienced IPV. Results Thematic analysis revealed three patterns: (a) First, “revenge—between thinking, planning, and acting,” capturing retaliatory cognitions; (b) second, “silence—the ultimate revenge,” demonstrating nonengagement as empowerment as a psychological coping strategy; and (c) third, “true winning has nothing to do with revenge,” highlighting transformation toward self‐focused recovery. Although revenge thoughts were acknowledged as inherent to early healing stages, findings showed these typically evolved toward constructive healing paths when supported by culturally informed approaches. Conclusion Findings demonstrate that although revenge cognitions are common in early recovery from IPV, Jewish women survivors typically progress toward nonretaliatory coping strategies. Implications Results emphasize the importance of culturally informed therapeutic approaches that acknowledge and support this transformation process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".