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Record W2321995891 · doi:10.1177/0886109915578729

Feminism Within Domestic Violence Coalitions

2015· article· en· W2321995891 on OpenAlex
Betty Jo Barrett, Salsabel Almanssori, Denise Kwan, Elyse Waddick

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

VenueAffilia · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPatriarchyFeminismEmpowermentGender studiesDomestic violenceSociologyIdentity (music)State (computer science)Gender inequalityInequalityFeminist philosophyFeminist theoryPoison controlHuman factors and ergonomicsPolitical scienceLawMedicine

Abstract

fetched live from OpenAlex

This article investigated the frequency with which feminist identity and constructs are evident in the missions of state domestic violence coalitions in the United States. Findings from the analysis yielded low frequencies of feminist constructs present in the documents analyzed. Less than 10% of coalitions explicitly self-identified as feminist organizations in their materials, while fewer than 10% of coalitions acknowledged the relationship between patriarchy (9.8%) and gender inequality (7.8%) with violence against women. Coalitions more frequently employed the de-gendered language of empowerment and anti-oppressive frameworks rather than explicitly feminist perspectives. Implications of these findings for feminist informed advocacy are provided.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.447

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)0.0000.000

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 head0.067
GPT teacher head0.364
Teacher spread0.297 · 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