Bibliographic record
Abstract
The Ismā’ īlīs in Vancouver, Canada at the present time are a religious group mainly from a South Asian ethnic background also sometimes referred to as Khōja Ismā’ īlīs. The purpose of this study is to illuminate the experiences of Ismā’ īlīs women who were identified as marginalized from the Ismā’ īlīs community (e.g., they may not attend the Jama'at Khana on a regular basis, or they may have chosen to have limited contact within the community). In-group discrimination occurs through interactions with other members of the same community. Experiences of different forms of in-group discrimination were explored through in-depth interviews with six adult Ismā’ īlīs women, aged 24 to 45, who immigrated to Canada within the last 30 years and who currently reside in Vancouver. The study used a multicase design and followed the constant comparative method of data analysis. Results revealed nine themes of discrimination; five causes or forms of discrimination, and four consequences or outcomes. In addition, the context in which the discrimination occurs, recommendations for the community, and positive aspects of the faith and religion as interpreted by the participants were presented. The results indicated that the women's experiences contained examples of in-group discrimination that ranged from classism to physical abuse; and reflected both structural and functional themes of discrimination.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".