Being Canadian and Ahmadi Muslim: exploring identity formation of young Ahmadi Muslim women
Bibliographic record
Abstract
This study explored the identity formation of young women from a minority Muslim group known as Ahmadis in Canada. Nine unstructured interviews were conducted with women between the ages of 20-26. The questions that this study explored were: How do Ahmadi Muslim women understand and negotiate their identities? What are the factors that shaped and influenced their identity? The participants noted various components of Canadian and Ahmadi identity. Being Canadian meant having multiculturalism/ diversity, being accepting, polite, watching hockey and eating foods such as poutine. Being Ahmadi Muslim meant to have a strong sense of community (Jama ‘at), a sense of sisterhood and unity. The study also found various factors which shaped the identities of these young women which included family, friends, location, the Jama ‘at (community) and parent’s immigration history. Recommendations for theory and practice are provided as well as implications for future research. Key Words: Identity, Ahmadi Muslim women, Identity formation, Canadian
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".