Ivory tower in MD/PhD programmes: sticky floor, broken ladder and glass ceiling
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Achieving gender equity in academic medicine is not only a matter of social justice but also necessary in promoting an innovative and productive academic community. The purpose of this study was to assess gender distribution in dual MD/PhD academic programme faculty members across North America. METHODS: Academic metrics were analysed to quantify the relative career success of academic faculty members in MD/PhD programmes. Measured parameters included academic and leadership ranks along with nominal research factors such as peer-reviewed research publications, H-index, citation number and years of active research. RESULTS: Χ² analysis revealed a statistically significant (p<0.0001, χ²=114.5) difference in the gender distribution of faculty and leadership across North American MD/PhD programmes. Men held 74.2% of full professor positions, 64% of associate professor positions, 59.4% of assistant professor positions and 62.8% of lecturer positions. Moreover, men occupied a larger share of faculty leadership roles with a statistically significant disparity across all ranks (p<0.001, χ²=20.4). A higher proportion of men held positions as department chairs (79.6%), vice chairs (69.1%) and programme leads (69.4%). CONCLUSION: Gender disparity was prevalent in the MD/PhD programmes throughout North America with women achieving a lower degree of professional stature than men. Ultimately, steps must be taken to support women faculty to afford them better opportunities for academic and professional advancement.
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.
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 | 0.000 |
| 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) | 0.000 | 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 it