Looking beyond parity: Gender wage gaps and the leadership labyrinth in the Canadian healthcare management workforce
Bibliographic record
Abstract
It is important for health organizations to monitor progress toward gender equity and inclusion goals among health human resources. Within the Canadian healthcare management workforce, however, recent investigations are lacking. This study examines gender differences in composition and compensation among health leadership in Canada using national census data. Findings show that although women represent over half (57%) of senior managers in health and social services, the pipeline from middle management (72%) suggests persistent career barriers disproportionately affect women. Women health and social care managers' earnings averaged $0.83-.89 for every dollar that a man earned. The gender wage gap remained statistically significant, with women health managers earning 12-20% less than men, after adjusting for age, education and other characteristics. Dynamic decomposition analyses highlighted that most of the gender wage gap could not be explained within the available data-a finding attributable, at least in part, to (unmeasured and unmeasurable) gender discrimination.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".