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Record W4293055727 · doi:10.1002/car.2781

Gender Differences in Cumulative Abuse, Bystander Intervention and Long‐Term Effects on Health and Intimate Partner Violence

2022· article· en· W4293055727 on OpenAlex

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

VenueChild Abuse Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsDomestic violenceVictimisationIntervention (counseling)Clinical psychologyMental healthPsychologySuicide preventionMedicinePoison controlBystander effectOccupational safety and healthPsychiatryMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

Abstract This study examines gender differences in cumulative abuse, measured by the Juvenile Victimization Questionnaire, bystander intervention outcomes and survivors' long‐term health, using student survey data from seven universities (N = 4080). By conducting chi‐squared tests, t‐tests and regression analyses, the results show that more female students reported higher cumulative abuse than male students. Survivors of cumulative abuse reported higher intimate partner violence (IPV) victimisation. Female survivors reported poorer mental health, while male survivors were more involved in alcohol and drug use. Most survivors remembered the bystander presence at the incident of abuse as neither helpful nor harmful, which was not significantly different by gender. Findings suggest that campus service providers need to tailor services considering the gendered effects of cumulative abuse on IPV and its long‐term health ramifications to enhance the effectiveness of services for college students.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.671

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.046
GPT teacher head0.361
Teacher spread0.315 · 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