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Record W2132721357 · doi:10.1177/0361684312448932

“But Most of All, They Fought Together”

2012· article· en· W2132721357 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePsychology of Women Quarterly · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSympathyAttributionAbusive relationshipPsychologyDomestic violenceCriminologyResistance (ecology)SentenceSuicide preventionPoison controlSocial psychologyHuman factors and ergonomicsLawMedical emergencyMedicinePolitical science

Abstract

fetched live from OpenAlex

The present study provides a discourse analysis of judicial attributions about battered women in Canadian sentencing decisions involving women convicted of killing their abusive intimate partners. For cases in which the accused received a jail sentence, judges downgraded acts of previous partner violence by using minimizing descriptions and by emphasizing the mutuality of the violence and of substance abuse. These discourses mobilized doubt about the relationship as abusive and limited sympathy for the accused as a battered woman. Judges’ descriptions formulated domestic abuse as discrete episodes of violence, attributed in many cases to alcohol rather than to an ongoing pattern of serious domestic abuse. These descriptions reinforced the accused’s capabilities and strength, which served to diminish the opposing claim that she was trapped in a seriously abusive relationship. Recommendations include incorporating information about battered women’s resistance efforts into traditional battered woman syndrome testimony and examining police decision making in cases of dual arrest.

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 score0.522
Threshold uncertainty score0.489

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 head0.034
GPT teacher head0.370
Teacher spread0.335 · 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