Local responses to trauma: Symptom, affect, and healing
Bibliographic record
Abstract
This article provides an introduction to the thematic issue of Transcultural Psychiatry on local responses to trauma. To illustrate how local responses to trauma may be therapeutic, we consider the multiple dimensions or domains that may be targeted by healing rituals and interventions. We then outline a theoretical model of the generation of trauma-related symptoms and distress. We present the multiplex model of symptom generation which posits multiple cognitive, social, and physiological mechanisms by which various triggers can lead to severe distress among trauma victims in acute episodes, and which may be targeted in treatment. More persistent forms of distress can be explained in terms of the effects of persistent mood states and associated modes of cognitive processing and behavior that render individuals vulnerable to chronic symptoms and acute exacerbations. The beneficial effects of healing rituals and interventions may occur, in part, by inducing positive affective states associated with a flexible mind-set. We conclude by summarizing some of the contributions of the papers in this issue to understanding local therapeutic processes of healing.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.011 | 0.020 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".