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Record W1450708603 · doi:10.1177/0891243215602105

Victims to Saviors

2015· article· en· W1450708603 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGender & Society · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsMcGill University
Fundersnot available
KeywordsCitizenshipGovernmentalityState (computer science)Position (finance)RestructuringLaw enforcementCorporate governancePolitical scienceEnforcementSociologyCriminologyEconomic growthLawBusinessEconomicsPolitics

Abstract

fetched live from OpenAlex

Gender scholars have argued that legal reforms against violence position women as victims in need of state help. Using data collected from 22 months of participant observation with survivors of domestic violence in India, I urge academics to re-theorize the relationship between legal reforms and women’s citizenship during an era of neoliberal governance. Burdened with administrative tasks, Indian law enforcement personnel manage new rights claims by displacing regulatory duties onto survivors and caseworkers. Women who have access to women’s organizations are able to take advantage of these changes and “save” themselves and other women from violence. This article shows how neoliberal governmentality, when combined with women’s organizing, has the potential to restructure women’s relationship to the state.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.122
GPT teacher head0.351
Teacher spread0.229 · 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