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.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".