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Record W2157038724 · doi:10.1111/1467-9566.12099

Gay men and intimate partner violence: a gender analysis

2014· article· en· W2157038724 on OpenAlexafffund
John L. Oliffe, Christina Han, Estephanie Sta. Maria, Maria Lohan, Terry Lee Howard, Donna E. Stewart, Harriet L. MacMillan

Bibliographic record

VenueSociology of Health & Illness · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMcMaster UniversityUniversity of TorontoUniversity Health NetworkPositive Living Society of British ColumbiaUniversity of British Columbia
FundersInstitute of Neurosciences, Mental Health and AddictionCanadian Institutes of Health ResearchUniversity of British ColumbiaInstitute of Gender and HealthMichael Smith Health Research BC
KeywordsDomestic violenceComplicityPsychologyAbusive relationshipSocial psychologySexual violenceQualitative researchHegemonic masculinityCriminologyGender studiesSuicide preventionDevelopmental psychologyPoison controlSociologyMasculinityMedicinePolitical scienceMedical emergency

Abstract

fetched live from OpenAlex

Though intimate partner violence (IPV) is predominately understood as a women's health issue most often emerging within heterosexual relationships, there is increasing recognition of the existence of male victims of IPV. In this qualitative study we explored connections between masculinities and IPV among gay men. The findings show how recognising IPV was based on an array of participant experiences, including the emotional, physical and sexual abuse inflicted by their partner, which in turn led to three processes. Normalising and concealing violence referred to the participants' complicity in accepting violence as part of their relationship and their reluctance to disclose that they were victims of IPV. Realising a way out included the participants' understandings that the triggers for, and patterns of, IPV would best be quelled by leaving the relationship. Nurturing recovery detailed the strategies employed by participants to mend and sustain their wellbeing in the aftermath of leaving an abusive relationship. In terms of masculinities and men's health research, the findings reveal the limits of idealising hegemonic masculinities and gender relations as heterosexual, while highlighting a plurality of gay masculinities and the need for IPV support services that bridge the divide between male and female as well as between homosexual and heterosexual.

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 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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.039
GPT teacher head0.384
Teacher spread0.345 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations57
Published2014
Admission routes2
Has abstractyes

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