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Record W3011172230 · doi:10.1177/0306624x20911898

Experiences of Physical and Psychological Violence Against Male Victims in Canada: A Qualitative Study

2020· article· en· W3011172230 on OpenAlexaffabout
Eugene Emeka Dim

Bibliographic record

VenueInternational Journal of Offender Therapy and Comparative Criminology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDomestic violenceVerbal abusePsychologyQualitative researchPoison controlPhysical abuseSuicide preventionInjury preventionClinical psychologyPsychological abuseSocial psychologyDevelopmental psychologyMedicineMedical emergencySociology

Abstract

fetched live from OpenAlex

The concept of intimate partner violence (IPV) implies gender-neutrality in the experiences of violence. Gender symmetry in IPV implies similar numbers of men and women victims. Data from the 2014 Canadian General Social Survey (Victimization) indicate that 262,267 men and 159,829 women were victims of self-reported spousal violence over the past 5 years. Despite the prevailing notion that IPV predominantly affects female victims, these data suggest that men too are victims of IPV, especially in heterosexual relationships. However, very few qualitative studies have shed light on heterosexual male victims' experiences of IPV. This article describes some of these experiences and also seeks to understand the effects of IPV on male victims. Qualitative data collected through semi-structured interviews with 16 male victims of IPV were used to explore their experience of physical IPV and psychological IPV, as well as the consequences of such abuse. Results revealed common themes pertaining to the type of abuses (i.e., physical, controlling and threatening behaviours, and verbal abuse) male victims experienced and the subsequent physical and psychological impacts. This study identifies the need to distinguish between physically and psychologically abused male victims of IPV.

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)0.000
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.363
GPT teacher head0.451
Teacher spread0.087 · 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 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

Citations27
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Offender Therapy and Comparative CriminologySame topicIntimate Partner and Family ViolenceFrench-language works237,207