Book Review: Trauma: At the Side of Torture Survivors: Treating a Terrible Assault on Human Dignity
Bibliographic record
Abstract
Man's capacity for inhumanity is beyond normal comprehension," begins Archbishop Desmond Tutu in his forward to this book.He continues, "Yet there is also within each one of us a potential for evil to dominate and possess us.By the grace of God, there is also in each of us a potential for overwhelming love."I am sure these comments resonate for many of us who have worked with severely traumatized and tortured individuals; this book attests to the truth of these words.This edited volume is very much the story of the Berlin Center for the Treatment of Torture Victims.Founded in 1992, this specialized polyclinic has treated hundreds of patients from the former East Germany and more than 30 countries in Africa, Asia, the Balkans, and the Middle East.Each chapter is written by a member of this clinic and is augmented by plenty of case material.These anecdotes and the excellent translation from German make the book quite readable, although some of the graphic case descriptions may be disturbing.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.018 | 0.009 |
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".