Non-standard Employment and Promotions: A Within Genders Analysis
Bibliographic record
Abstract
This article examines promotion experiences of workers in nonstandard employment as compared to those in regular full-time employment. Since females dominate non-standard employment, we analyse the female and male labour forces separately. Non-standard employment refers to regular part-time, temporary full-time, and temporary part-time employment. Data comes from the Workplace and Employee Survey (1999) of Statistics Canada. Results are generalized to Canadian workers. Results show that within the female labour force, workers in all three types of non-standard employment are less likely to be promoted than workers in regular full-time employment. Within the male labour force only those in temporary part-time employment are less likely to be promoted. Working in regular part-time or temporary full-time contracts has no impact on promotion for male workers. Overall results suggest that all three types of non-standard work adversely affect females' promotion experiences but for males only those in temporary part-time jobs are adversely affected.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".