"Diaspora of Islamic Cultures: Continuity and Change (Research Report)"
Bibliographic record
Abstract
This paper, drawing upon an ongoing research project funded by Canada's Social Sciences and Humanities Research Council (SSHRC) and the Ford Foundation, introduces the main ideas and themes that inform the study of changing gender and family relations among four displaced communities of Islamic cultures (Iranian, Afghan, Palestinian, and Pakistani). For members of each group, three sets of "circumstances" are analyzed -- an individual's experience in the home and host country, together with an examination of socio-economic conditions and policies in the host. In addition to these social and economic factors, in particular, it will focus on the ways in which social class, gender, and religious commitments affect an individual's experience when they move. It is argued that gender significantly impacts new migrants' experience and how they feel about their "home" country. One of our main hypotheses is that under pressures of a rapid, often difficult, social and cultural transformation, changing gender dynamics in the new country can lead to a new understanding among partners -- or, alternatively, to heightened tension, with severely damaging effects, particularly for women and children. Culturally, when family understandings collapse, this process may be accompanied by an effort to find religious justification for gender inequality. Then, a connection can be seen between difficulties in the new country, the efforts of conservative men to reclaim the dominance they once enjoyed in their countries of origin, and give it a religious justification. Hence, the revival, in the diaspora, of conservative Islamic practice and belief.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".