The Effect of Race, Provocation, and Sex Role Ideology on Attributions of Female Perpetrated IPV
Bibliographic record
Abstract
Few studies have jointly examined the effects of perpetrator/victim race and provocation on observer perceptions of intimate partner violence (IPV), especially in the context of female perpetration.In the current study, 511 undergraduate students from a Canadian university were randomly assigned to one of eight vignette conditions wherein the race of the perpetrator (Black, White), victim (Black, White), and verbal victim provocation (present, absent) were varied in a scenario of female perpetrated IPV.A mixed-methods design was used to assess observer perceptions of incident seriousness and attributions of blame.Victim provocation was the most significant predictor across all perception models, accounting for 31% of the explained variance in the model of victim blame.Moreover, some observer effects were reduced to non-significance once a measure of racial bias was introduced as a control variable.Overall findings highlight the need for resources concerning IPV identification and other outreach services on university campuses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".