Social control and deviance within the South Asian Muslim female community: an exploratory study.
Bibliographic record
Abstract
The relationship between acculturation into mainstream society and problematic youth behaviour is well documented, with a number of studies linking experiences of culture conflict to delinquency. However, the scholarship examining the relationship between culture conflict and delinquency among the South Asian Muslim population in Canada is understudied. Recognizing the risk of deviance within Canada???s South Asian Muslim communities, this study explores the influence of culture conflict on culturally specific forms of deviance. Culture conflict here is examined through behaviours considered immoral by many South Asian Muslim families within Canada but acceptable by mainstream society, including: pre-marital sex, alcohol consumption, dating and social outings/clubbing. Data was collected and analyzed from eight self-identified South Asian Muslim females from the University of Ontario Institute of Technology in Ontario, Canada. The results of this study reveal that despite the influence of the dominant society, participants refrain from engaging in culturally deviant female behaviour. I argue that with a growing South Asian population, ethnic and religious identities become strengthened. By identifying with a South Asian Muslim identity, culture, religion, and gender intersect to govern the lives of these participants.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".