The negotiation of masculinity and identity through clothing choices among Russian speakers in Canada
Bibliographic record
Abstract
Using information interviews conducted with Russian-speaking men living in Toronto and vicinity this article interrogates the understanding of fashion among immigrants from former Soviet Union and Russia. Using a hypothesis that Russian-speaking men conceptualize their male identity differently from both their Canadian counterparts and Russian men living in Russia this article investigates how fashion choices affect negotiation of identity of these men in Canada. Using art historical methodologies, historical analysis and qualitative research I look at the interviewee’s contributions as a reflection of masculinity in transitions assuming that the forming of masculine identity is a constantly changing process. In each society the hegemonic model of masculinity categorizes groups of men in relation to each other through ‘normalizing’ the definition of masculinity and defining its standards and proper manifestations. This is particularly true of societies where the military culture has an increased presence and an important role to play. Contemporary Russia epitomizes the commanding and rigid nature of the masculinist regime where hegemonic masculinity is firmly established and thoroughly institutionalized.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.014 |
| Scholarly communication | 0.006 | 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".