One Size Doesn’t Fit All: Dating Abuse Against Women From the Perspective of South Asian Muslim Youth in Canada
Bibliographic record
Abstract
Despite the growing recognition of intersectionality in the field of domestic abuse, scholarship on dating abuse is still limited by its lack of attention to cultural context. To begin to address this gap, this article presents findings from an exploratory qualitative study of 11 South Asian Muslims' perceptions of behaviors/actions in dating relationships that they identify as being potentially experienced and/or understood differently by South Asian Muslim women. In particular, the participants identify (a) exposure to parents/community, (b) behaviors of a sexual nature, (c) controlling behaviors, and (d) psychological, emotional, and/or verbal behaviors/abuse as being experienced and understood in unique ways by South Asian Muslim women. By connecting these perceptions to the cultural context of South Asian Muslims, these findings support an intersectionality perspective by suggesting sociocultural variations in the meanings assigned to behaviors and/or actions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".