Women Plastic Surgeons of Canada: Empow <i>her</i> ment Through Education and Mentorship
Bibliographic record
Abstract
Gender disparity in plastic surgery in Canada is an important issue. The Women Plastic Surgeons of Canada (WPSC) group was created to highlight the interests and concerns of female members of the Canadian Society of Plastic Surgeons (CSPS). Women Plastic Surgeons of Canada seeks to teach and implement measures to overcome the internal and external factors contributing to "the plastic ceiling." In addition, the WPSC group was created to raise awareness about the gender gap in our leadership and implement strategies to empower female surgeons to "lean in" and seek out leadership roles in plastic surgery. Education, mentorship, and networking among female CSPS members are first steps in empowering our female surgeons. All members of the CSPS are encouraged to learn about gender disparity in order to work together to address this issue.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.018 | 0.020 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".