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Record W4403363812 · doi:10.1093/sp/jxae017

“The Damage is Permanent”: Law, Women’s “Honor,” and the Psychiatrization of Sexual Violence in Post-reform Turkey

2024· article· en· W4403363812 on OpenAlexaff
Tuğçe Ellialtı-Köse

Bibliographic record

VenueSocial Politics International Studies in Gender State & Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsUniversity of Guelph
FundersSchool of Arts and Sciences, University of RichmondUniversity of Pennsylvania
KeywordsHonorSexual violencePolitical scienceCriminologyLawGender studiesSociologyComputer science

Abstract

fetched live from OpenAlex

Abstract Existing literature is deeply divided on the effectiveness of rape law reforms. Intervening in this literature, this article examines the workings and consequences of ostensibly gender-neutral and victim-friendly reforms in Turkey. Through court observations, document analysis, and interviews with legal actors, I show how complex—and gendered—notions of victimization, harm, and trauma are embedded in sexual assault laws. I argue that the law defines sexual violence as inherently and invariably traumatizing, causing symptoms that can be identified and evidenced through the examination of the mental states of survivors, thus psychiatrizing it. This psychiatrization rests on the idea that rape primarily, and unequivocally, damages women’s “honor.” Consequently, the category of “legitimate victimhood” does not disappear; rather, it is reinvented by medico-legal logics that invoke gendered norms of honor and morality, which infuse and shape deliberations of justice in cases of sexual violence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.034
GPT teacher head0.367
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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