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Record W2216881717

Diversity of Roles Played by Aboriginal Men in Domestic Violence in Quebec

2015· article· en· W2216881717 on OpenAlexaffabout
Lisa Ellington, Renée Brassard, Lyse Montminy

Bibliographic record

VenueInternational Journal of Men s Health · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité de MontréalUniversité du QuébecUniversité Laval
Fundersnot available
KeywordsDomestic violenceDiversity (politics)CriminologyGender studiesQualitative researchPopulationSocial isolationLived experienceSociologyPolitical scienceGeographySuicide preventionPoison controlPsychologyDemographyMedicineSocial scienceEnvironmental healthPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Domestic violence in aboriginal settings should not be seen in isolation from the history of colonisation of aboriginal peoples in Canada and the effects of this history on family structure. The few studies on the subject have focused mostly on women and social workers, with little documented evidence of the views and experiences of men. The small number of studies carried out among aboriginal men suggests that they tend to be seen as the main instigators of violence, leading inevitably to the perpetuation of mass incarceration. This article presents the results of a qualitative study conducted among 39 aboriginal men with experience of domestic violence living in Quebec. Analysis of semi-structured interviews reveals the wide range of roles played by aboriginal men in incidents of domestic violence, and highlights the importance of focusing on interactional dynamics and the influence of a range of factors governing their experience, the wider aim being to break down the barriers between the different social measures targeting this population.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.024
GPT teacher head0.392
Teacher spread0.368 · 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

Citations3
Published2015
Admission routes2
Has abstractyes

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