An ill-informed choice: empirical evidence of the link between employers’ part-time or temporary employment strategies and workplace performance in Canada
Bibliographic record
Abstract
Many employers seek flexibility through part-time or temporary employment to achieve improved competitiveness and success. Using strategic choice theory, this study is a longitudinal examination of employers’ strategic decisions of reducing labour costs and using part-time or temporary workers on workplace performance. Workplace performance is measured through profitability, productivity and change in net operating revenue. Statistics Canada’s Workplace and Employee Survey longitudinal workplace data are used for the analysis. Results show that reducing labour costs strategy has no effect on profitability, productivity or change in net operating revenue, and using part-time or temporary workers strategy shows decreased profitability and productivity, and that there is no effect on the change in net operating revenue in Canadian workplaces studied. Based on these findings, we recommend that employers, in Canada and elsewhere, not only carefully weigh reducing labour costs and employing part-time or temporary workers strategies for workplace performance, but also reconsider such strategies and instead seek alternative means of improving workplace performance.
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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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".