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Record W4235400501 · doi:10.32920/ryerson.14657562

Domestic Violence Intimate Partner Violence Male-Identified Latino Diaspora Participants Program Experiences

2021· preprint· en· W4235400501 on OpenAlexaffabout
Hugo Vallecilla

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsToronto Metropolitan UniversityCentre for Social Innovation
Fundersnot available
KeywordsDiasporaDomestic violenceCritical race theoryRace (biology)PsychologySuicide preventionPoison controlGender studiesSocial psychologyCriminologySociologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

Domestic Violence Intimate Partner Violence with Male Identified Latino Diaspora participants research was to give a voice to a group of men who committed violence against their partners and provide them an opportunity to talk about who they are, where they learned to be who they are, and how they were impacted by mandatory court programs. Before this study, no significant research had been done on the experiences of Latino Diaspora men within the Greater Toronto Area. The theoretical and methodological lens utilized Critical Race Theory and Latino Critical Theory. Three semi-structured interviews were conducted with male-identified individuals who completed court mandated programs within the Greater Toronto Area in the last five years. The outcomes were an improved understanding about the benefits and gaps that still exist within the mandatory court programs. Findings present much-needed information and consideration about the benefits of linguistic specific supports and the needs for greater educational supports related to healthy relationships.

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)0.002
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 score0.064
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0000.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.060
GPT teacher head0.391
Teacher spread0.331 · 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 routes2
Has abstractyes

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