Practices on the Periphery: Highly educated Chinese immigrant women negotiating occupational settlement in Canada
Bibliographic record
Abstract
Employing a situated learning framework, I examine how 10 Chinese immigrant omen negotiated their occupational settlement in Canada. I argue for a mutually constitutive relationship between the women’s employment strategies and Canadian workplace practices, the accessibility and receptivity of which are shaped by social relations such as gender, race, and perceived language differences. Specifically, I examine the women’s practices in positioning themselves vis-à-vis the Canadian labour market and their “legitimate” peripheral practices in Canadian workplaces. I show that central to the women’s labour market positioning practices is a process of identity construction that is in ongoing interplay with exclusionary labour market practices. Further, provided with little support at their new workplaces, the women often resorted to strategic tolerance, relied on prior knowledge and expertise, and became agents of change. The legitimate space presupposed in situated learning was an entitlement that the women had to earn in Canada. Résumé En partant d’un cadre conceptuel d’apprentissage contextualisé, j étudie un groupe de 10 chinoises immigrantes qui négocient leur adaptation professionnelle au Canada. Je me base sur l hypothèse d’une relation constitutive mutuelle entre les stratégies d emploi des femmes et les pratiques d’emploi sur le marché canadien où les questions d accessibilité et de réceptivité sont sujettes aux relations sociales telles que le sexe, la race et les différences langagières perçues. Spécifiqueme j’étudie la façon dont ces femmes se positionnent vis-à-vis le marché du travail canadien et leurs pratiques parallèles légitimes au sein de leurs lieux de travail. Je démontre qu au centre des efforts d’adaptation professionnelle de ces femmes se déroule un processus de construction identitaire continuel tributaire des pratiques d’exclusion du marché du travail. De plus, les immigrantes chinoises, laissées à elles-mêmes dans leur nouveau poste de travail, sans un réseau de soutien, ont développées des stratégies de tolerance. Elles ont dù se fier à leur bagage de connaissances et a leur expériences acquises antérieurement et sont devenu des agentes de changement.La place légitime présumée dans la situation d apprentissage contextualisé est un droit que les femmes ont du gagner d ellemêmes au Canada
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.012 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".