MétaCan
Menu
← Back to cohort
Record W7057964187

"Man Up": Male Survivors of Intimate Partner Violence Through the Eyes of Their Providers

2021· article· en· W7057964187 on OpenAlexaff

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsWestern University
Fundersnot available
KeywordsDomestic violenceService providerQualitative researchInterpersonal violenceMasculinityInterpersonal communicationIntimate partnerSuicide prevention
DOInot available

Abstract

fetched live from OpenAlex

Intimate partner violence (IPV) is a complex phenomenon that is often understood with women as the primary recipients of violence and men as the primary perpetrators. However, emerging literature on heterosexual relationships suggests that men also experience interpersonal violence, most often from their female partners. Drawing on research data gathered through semi-structured interviews with service providers (n = 4), this qualitative inquiry explores how gender, power, and the stigma associated with interpersonal violence impact men who have experienced abuse through the perspectives of the service providers who work with them. The findings from this study highlight how traditional constructions of violence, gender, and masculinity contribute to the silencing of this form of victimization, which makes it difficult for men to recognize and disclose their abuse. They also highlight the need for tailored services for men, especially those that offer programs based in peer-support.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.065
GPT teacher head0.316
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueScholarship@Western (Western University)→Same topicMagnetic confinement fusion research→French-language works237,207→