Experiences of Masculinities in a Group of Iranian Men Who Have Immigrated to Canada
Bibliographic record
Abstract
Living in a new sociocultural context, due to immigration, is said to affect the masculinities of men who reside in diasporic places. Iranian men’s masculinities in a diasporic context can be influenced by the new context’s discourses of gender and sexuality. Although the number of Iranian men living in Canada has been increasing, research on diasporic Iranian men within a Canadian context is scant. In my doctoral research, I employed collective memory work to grasp the ways in which contemporary Iranian men’s masculinities are challenged in a diasporic place — namely, Saskatoon, Canada. To do so, I scrutinized memory-scenes written by six Iranian men who had immigrated to Canada between 2014 and 2022. Reflexive thematic analysis of the six written memories resulted in observations that centered around three themes. The first theme, Contextual Masculine Precarity, was inductively extracted from a group of observations that referred to the coresearchers’ feelings of insecurity, uncertainty, shame, loss of socioeconomic status, loss of power, loss of confidence, and heightened vigilance in social settings. Men and Marriage, the second theme, was derived from a cluster of observations that revolved around the organizing concept of marital lives in the new context. Finally, the third theme, Masculine Binary Phenomenology, was extracted from observations, such as girl/boy pairings, that orbited around the coresearchers’ binary worldviews. My findings concerning Iranian men’s experiences of their masculinities in a diasporic context can contribute to existing literature on immigrant masculinities, especially diasporic Iranian masculinities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.009 |
| 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".