Immigrants and job satisfaction: Do high performance work systems play a role?
Bibliographic record
Abstract
This study focuses on immigrants in Canada and examines their job satisfaction as compared to Canadian-born employees. The authors explore whether high performance work systems (HPWS) affect immigrant employees’ job satisfaction differently than Canadian-born, where HPWS include empowerment, motivation and skill enhancing sub-bundles of practices. The study uses Statistics Canada’s Workplace and Employee Survey, a longitudinal dataset consisting of six years of data from 1999 to 2004 and 49,344 employees. Ordered logistic regression analyses are used to explore causal relationships. The moderation results show that increases in the motivation sub-bundle and increases in overall experience of HPWS practices are related to increases in job satisfaction among immigrants when compared to Canadian-born employees. Immigrants are a segment of the workforce that is understudied in management. This study identifies HPWS bundles that positively affect immigrants’ job satisfaction, suggesting a role for managers to capitalize on job satisfaction improvements ultimately contributing to organizational success.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".