Casper, Monica J. and Eric Wertheimer, eds., Critical Trauma Studies: Understanding Violence, Conflict, and Memory in Everyday Life.
Bibliographic record
Abstract
P sychological trauma can be defined, roughly, as the effect of an ex- perience which the mind is unable to process, assimilate, and assign to the past.A traumatizing experience, therefore, is defined not by its intrinsic properties but by the mind's response to it (Herman, 2001).Critical trauma studies takes this anti-essentialist insight one step further by examining how social relations and cultural meanings produce trauma, in two ways.First, relations of denigration and oppression entail traumatizing experiences for individuals and groups -through class, race, gender, sexuality, and so on.Second, the concept of trauma is, itself, socially constructed and performative.This interesting, often insightful collection explores the socio-cultural dimensions of trauma across a wide variety of settings, including war in Afghanistan and Chechnya, Iran's Evin Prison, the Nazi holocaust, and sexual and racial violence in America.Several contributors write from experiences with activism, victim advocacy, or therapeutic practice, and several reference personal traumas of their own.Many of the contributions take an explicitly feminist or intersectional approach.The editors, Monica Casper and Eric Wertheimer, are professors in Gender and Women's Studies and in English, respectively, and the collection is highly interdisciplinary with contributions from Africana studies, justice studies, communications studies, and comparative studies as well as from more traditional disciplines like philosophy, religious studies, English, and sociology.The book includes an introduction that speaks to the context, themes, and aims of the collection.Some chapters are written using conventional social science methods: a content analysis of laypersons' writings on forgiveness, for instance, or a case study of one New Orleans family's experiences after Katrina.Others are personal, even poetic: a written translation of a performance art piece about Fallujah; an extended meditation on one girl's silence in Evin Prison; a bitter and yet hopeful lecture on surviving sexual abuse.Other chapters combine the clinical and the personal: a literary analysis of trauma and forgetting in Cormack McCarthy's The
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.009 | 0.016 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".