Perception of job satisfaction and over qualification among African immigrants in Alberta, Canada
Bibliographic record
Abstract
African-trained landed immigrants in the Alberta labor market are faced with employment over qualification and professional devaluation. Researchers have documented the precarious labor market position of this cohort and efforts undertaken by federal and provincial Canadian governments to address it. Little is known, however, about how these African immigrants perceive job satisfaction and over qualification. Guided by human capital theory, this phenomenological study focused on the perceptions of job satisfaction and over qualification among 11 landed immigrants of African origin in Alberta, Canada. Data were collected using semi structured interviews. Hatch's 9-step technique was used to analyze data, resulting in coded domains, master outlines, and themes. Findings indicated that labor market initiation, quality of life, labor market practices, and reeducation contributed to the immigrants' perceptions of job satisfaction and over qualification. Findings also suggested that labor market introductory programs and skills refining may influence labor market performance. Results may be used to enhance socioeconomic integration services and programs run by immigrant-serving organizations in Alberta.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".