Facing the Glass Wall: The Effects of Perceived Characteristics of Career Boundaries on Immigrant Professional Identity Salience and Career Outcomes
Bibliographic record
Abstract
The present study examines the effects of characteristics of perceived career boundaries (permeability, stability, legitimacy) on immigrant professionals’ subjective career outcomes in a longitudinal design. Based on social identity theory framework, I propose a model that examines how immigrant professionals’ perceptions of career boundaries influence two important areas for establishing a satisfying career and successful social integration in Canada: (1) perceptions of career-based success (career satisfaction and career anxiety) and (2) subjective well-being (life satisfaction and regret for immigrating to Canada). I further propose that perceptions of career boundaries act on subjective career outcomes through the quality of employment individuals obtained and the salience of immigrant professional identity. Perceived characteristics were assessed (N = 227) at Time 1, and measures of subjective career outcomes, employment quality, and immigrant professional identity salience were obtained (N = 101) at Time 2, six months later. In addition to the survey study, 12 immigrant professionals were interviewed for an in-depth understanding of the career experiences of immigrant professionals and immigrant professional identity salience. The longitudinal design of the study provides support for the temporal dimension of perceived characteristics; immigrant professionals’ initial perceptions about the career boundaries still predicted their beliefs about career-based success and subjective well-being six months later. Also, the findings provided some support for the mediating effects of employment quality and immigrant professional identity salience on the relationship between perceived characteristics and subjective career outcomes. This study sheds light on the relationship between the perceptions formed by immigrant professionals of the obstacles that they face in integrating into their new labour market, the employment decisions they take, and the impact this has on their sense of career and life well-being. It also reveals the way in which subjects invoke the intersectional identity of “immigrant professional” as a result of their experiences, and of the effect that this has on them. The findings can inform the practice of the various parties assisting the integration of immigrant professionals into the workforce, an ever-growing and not well-understood group of workers that populate many of today’s workplaces.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".