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Record W2786352325 · doi:10.1177/0886260518758330

Experiences of Intimate Partner Violence Victims With Police and the Justice System in Canada

2018· article· en· W2786352325 on OpenAlex
Michael Saxton, Laura Olszowy, Jennifer C. D. MacGregor, Barbara J. MacQuarrie, C. Nadine Wathen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Interpersonal Violence · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsWestern University
FundersCanadian Institutes of Health ResearchAustralian Government
KeywordsHelpfulnessDomestic violenceCriminal justiceEconomic JusticePerceptionPsychologyLaw enforcementPoison controlHuman factors and ergonomicsLegal psychologySuicide preventionSocial psychologyCriminologyPolitical scienceMedicineLawMedical emergency

Abstract

fetched live from OpenAlex

Legal responses to intimate partner violence (IPV) can determine whether and how those exposed to IPV seek help. Understanding the victim's perspective is essential to developing policy and practice standards, as well as informing professionals working in policing and the justice system. In this survey study, we utilized a subset of 2,831 people who reported experiencing IPV to examine (a) rates of reporting to the police; (b) experiences with, and perceived helpfulness of, police; (c) rates of involvement with the criminal and family law systems, including protection orders; and (d) experiences with, and perceived helpfulness of, the justice system. Data were analyzed using descriptive statistics for closed-ended survey questions and content analysis of text responses. More than 35% of victims reported a violent incident to the police, and perceptions of helpfulness were mixed. Fewer victims were involved with the criminal and family law systems, and their satisfaction also varied. Text responses provided insight into possible reasons for the variability found in experiences, for example, the proposed role of victim and system expectations, and respondents' perception that getting help depends on "being lucky" with the officials encountered.

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.

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)0.001
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 score0.378
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.011
GPT teacher head0.280
Teacher spread0.269 · 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