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Record W4412882442 · doi:10.1177/10778012251362231

Non-Physical Intimate Partner Violence and Long-Term Public Healthcare Costs in a Representative Sample of Canadian Women

2025· article· en· W4412882442 on OpenAlexafffundabout
Nicholas Metheny, Gabriel John Dusing, Beverley M. Essue, Patricia O’Campo

Bibliographic record

VenueViolence Against Women · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsPublic Health OntarioUniversity of TorontoYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDomestic violenceHealth carePoison controlOccupational safety and healthSuicide preventionPhysical abuseInjury preventionMedicineHuman factors and ergonomicsEnvironmental healthPsychologyPolitical science

Abstract

fetched live from OpenAlex

This study investigated the impact of non-physical intimate partner violence (IPV), including emotional and verbal abuse, and coercive/controlling behaviors, on Ontario Health Insurance Plan costs, the universal healthcare provider in the province of Ontario, Canada. Women exposed to non-physical IPV alone had 17% higher healthcare costs over 10 years compared to those not exposed, translating to CA$686 million in additional annual costs, challenging the perception that non-physical IPV is less harmful than physical forms. We argue that prevention of non-physical IPV and culturally informed screening in healthcare settings is vital to mitigate its long-term impacts on individuals and healthcare systems.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.342
Teacher spread0.318 · 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.

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

Citations1
Published2025
Admission routes3
Has abstractyes

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