Vicarious Resilience, Vicarious Trauma, and Awareness of Equity in Trauma Work
Bibliographic record
Abstract
This qualitative study examines the coexistence of vicarious resilience and vicarious trauma and explores the inclusion of intersectional identities in trauma work with torture survivors in specialized programs across the United States. A constructionist framework and a method of constant comparison discovered themes that speak about the effects of witnessing how clients cope constructively with adversity, and intersectional identities in social context. The data suggest that trauma therapists can be potentially transformed by their clients’ resilience in positive, but not painless, ways. Choosing to work in the trauma field with survivors of torture and politically motivated violence involves immersion in profound ongoing experiences of intertwined pain, joy, and hope, and expanding the boundaries of self—personally and professionally.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.036 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.001 | 0.003 |
| 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".