Women’s Participation in Leadership Roles in a Single Canadian Paramedic Service
Bibliographic record
Abstract
INTRODUCTION: Like other public safety professions, paramedicine has historically been a male-dominated occupation. Although women are increasingly choosing paramedicine as a career, participation in leadership roles remains limited. Drawing on data from a comprehensive mental health survey, we describe the proportion of women in leadership in a single, large, urban paramedic service in Ontario, Canada. METHODS: We distributed an in-person, paper-based survey during the fall 2019 - winter 2020 continuing medical education sessions. Participating paramedics completed a demographic questionnaire alongside a battery of mental health screening tools. We assessed the demography of the workforce and explored differences in employment classification, educational achievement, clinician level (e.g., primary vs. advanced care), and participation in formal leadership roles along self-reported gender lines. RESULTS: Out of 607 paramedics attending, we received 600 completed surveys, with 11 excluded for missing data, leaving 589 for analysis and a 97% response rate. Women comprised 40% of the active-duty paramedic workforce, with an average of 8 years of experience. Compared to men, women were more than twice as likely to have university degrees (odds ratio [OR] 2.02, 95% compatibility interval [CI] 1.45-2.83), but almost half as likely to practice at the advanced care paramedic level (OR 0.61, 95% CI 0.42-0.88), and potentially less likely to be employed full-time (OR 0.77, 95% CI 0.54-1.09). Women were nearly 70% less likely to hold leadership roles in the service compared to men (OR 0.36, 95% CI 0.14-0.90), occupying 20% of leadership positions. CONCLUSION: Although paramedicine is witnessing an encouraging shift in the demography of its workforce, our results point to a potential under-representation of women in leadership roles. Future research should focus on identifying and ameliorating barriers to career advancement among women and other historically underrepresented people.
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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 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 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".