MétaCan
Menu
Back to cohort
Record W2107592884 · doi:10.1177/1077801213520574

Prevalence of Intimate Partner Violence Across Medical and Surgical Health Care Settings

2014· review· en· W2107592884 on OpenAlex
Sheila Sprague, J. Carel Goslings, Celine Hogentoren, Simone de Milliano, Nicole Simunovic, Kim Madden, Mohit Bhandari

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.

Bibliographic record

VenueViolence Against Women · 2014
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDomestic violenceMedicinePsychological interventionPoison controlOccupational safety and healthSuicide preventionInjury preventionFamily medicineHealth careHuman factors and ergonomicsMeta-analysisEnvironmental healthMedical emergencyPsychiatry

Abstract

fetched live from OpenAlex

Intimate partner violence (IPV) is a serious health problem and a leading cause of nonfatal injury in North American females. Prevalence of IPV has ranged from less than 20% to more than 50% across primary care, emergency medicine, and family medicine. We conducted a systematic review and meta-analysis of the literature to examine best estimates of IPV prevalence as opportunities for targeted interventions in health care specialties. We included 37 articles in this study. Based on our pooled data, best estimates of the lifetime prevalence of any type of IPV were 38% in family medicine and 40% in emergency medicine.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.023
GPT teacher head0.392
Teacher spread0.369 · 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