Patterns of Workplace Supervisory Roles: Experiences of Canadian Workers
Bibliographic record
Abstract
This paper explores the incidence of four supervisory duties and several factors influencing the likelihood of having experience with such responsibilities in the workplace. Supervisory experiences of working Canadians are investigated through secondary analysis of longitudinal panel data from the Survey of Labour and Income Dynamics (SLID) over a six-year time frame (1996 to 2001). Over this period, a majority reported at least some workplace experience with supervisory roles, with male workers, university-educated workers, and those from management and certain professional occupational sectors exhibiting markedly higher profiles of supervisory duty experience over time. Two trivariate interactions (university education by occupational sector by supervisory experience, and sex by occupational sector by supervisory experience) are identified as important through multivariate log-linear modelling, and examined further through percentage tables. The strengths of associations between education and supervisory experience, and gender and supervisory experience were mediated to some degree by occupational sector of employment.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".