Bibliographic record
Abstract
The idea for this special issue of Transcultural Psychiatry arose during a symposium on 'Rethinking Trauma in a Transnational World' , hosted by the Psychosocial Research Division, Douglas Hospital Research Centre, and the Montreal WHO Collaborating Centre for Research and Training in Mental Health.This one-day symposium in November 1998 brought together a diverse group of university and community-based researchers, clinicians and policy makers interested in rethinking trauma from the vantage points of practice, theory and field research.The speakers were invited to engage with the following critical perspective on the increasing 'trauma'-tization of collective violence:The global realities of multiple conflicts around the world, of pluri-cultural societies, and of ongoing transnationalization (through migration, media, and the globalization of markets) make an ongoing analysis of 'trauma' imperative, with a view not only to deconstructing underlying assumptions but ultimately to making it possible to imagine alternatives.This symposium brings together a number of researchers, clinicians and advocates who are engaged in rethinking trauma.We hope that a critical approach to 'trauma' and 'PTSD' -as well as to critiques of trauma -will contribute to a better understanding of the issues and processes involved, as well as to envisaging alternatives for interrupting the continual reproduction of violence while promoting individual and social healing.Approaches to trauma based on the diagnosis of post-traumatic stress disorder (PTSD) are centered on the individual.The trauma or PTSD
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.039 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".