Cognitive Dissonance between a Conservative and a Liberal Gender Order: How Afghan Muslim Men Overcome the Impact of Migration on their Gender Identity in Canada
Bibliographic record
Abstract
Previous research has shown that, after migration, some immigrant Muslim men experience a surge of marital conflicts—from the extent of their involvement in domestic labour, through challenges regarding the headship role of the household, to issues of divorce and child custody. In most cases, such conflicts surface against the background of a deeper conflict between the cultural gender norms in their old and new countries. There is, however, little research on how those immigrant Muslim men manage and respond to such emotional and relationship conflicts, setting the stage for stereotypical accounts based on some false Orientalist and neo-Orientalist assumptions. Based on 33 interviews with Afghan Muslim immigrant men and drawing on Festinger’s theory of cognitive dissonance as well as Berry’s typology of immigrant acculturation, this study shows the diversity of: (a) the issues over which such conflicts emerge; and (b) the responses the subjects develop vis-à-vis those conflicts. The findings provide the contours of a theoretical framework for understanding the changing and diverse nature of Muslim masculinity in future research.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".