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Record W2981045624

Hit Me with Your Best Shot

2019· article· en· W2981045624 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

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMacEwan University
Fundersnot available
KeywordsBlameSeriousnessPsychologyDomestic violenceCulpabilitySexual orientationSocial psychologyLesbianCriminologyCriminal justiceHuman sexualityPoison controlSuicide preventionGender studiesPolitical scienceSociologyMedicineLaw
DOInot available

Abstract

fetched live from OpenAlex

Intimate partner violence (IPV) is a considered one of the most pervasive forms of gender-based violence. In Canada, approximately 4% of Canadians report severe forms of IPV, such as being physically, sexually, or emotionally victimized by their partner. That said, these rates are a drastic underrepresentation of the true rate of IPV that is not reported to the police, including violence within same-sex relationships. Statistical data indicates that those in gay, lesbian, or bisexual relationships are more likely to be victims of violent crimes such as IPV relative to those in heterosexual relationships. Further, public surveys indicate that members of same-sex couples often refrain from reporting IPV due to threats related to their sexual identities. Research also has demonstrated that our perceptions of violence are moderated by extralegal factors, such as sexual orientation. Specifically, violence against women is viewed as more severe and taken more seriously by the criminal justice system than violence against men, across both same-sex and opposite-sex relationships. As such, the seriousness and criminal justice response to IPV incidents may be minimized or misinterpreted based on views about sexuality and gender identity, as well as levels of homophobia. Given that pre-existing biases and beliefs can lead to judicial bias concerning judgments of severity, culpability, and blame, this study was designed to examine how views concerning sexual orientation, use of threats, and instigator gender influence judgments of IPV.   Faculty Mentor: Kristine Peace Department: Psychology

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.491
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.197
GPT teacher head0.496
Teacher spread0.299 · 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