Advancing Gender Equity in International Eyecare: A Roadmap in Creating the Women Leaders in Eye Health (WLEH) Initiative
Bibliographic record
Abstract
Gender inequality remains a persistent issue in healthcare, especially in ophthalmology, where women face systemic barriers such as pay gaps, limited surgical opportunities, harassment, and unequal family expectations. Despite increasing entry into the field, women remain underrepresented in leadership, affecting career advancement and patient care. This study examines how virtual platforms, and co-led initiatives can address gender disparities in eye health. In 2021, Women in Ophthalmology, Seva Foundation, and Orbis International launched the Women's Leaders in Eye Health (WLEH) initiative-a global community promoting mentorship, networking, and leadership development. Starting with virtual webinars and informal networking, the initiative expanded to in-person events in 2023 due to strong global engagement and demand. Early virtual programming, including webinars and "Coffee Hour" sessions, proved effective and laid the groundwork for broader offerings such as mentorship and professional development grants. WLEH's success underscores the power of collaboration in promoting gender equity. By fostering connections and leadership pathways, WLEH offers a scalable model to break down gender challenges and uplift the next generation of women leaders to deliver more accessible eyecare globally.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 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 | 0.000 | 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".