Normalized “medical inferiority bias” and cultural racism against international medical graduate physicians in academic medicine
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
Socio-historical barriers remain a concern in Academic Medicine. Regrettably, despite the modern cultural era defined by increased recognition and response to such issues, widespread covert barriers and misperceptions continue to limit the advancement of many, in particular, international medical graduate physicians (IMGs) who represent a significant proportion of the US physician workforce. Adversity is experienced in the form of cultural racism, affinity bias, and underrepresentation in distinct specialties as well as in leadership roles. Often, these unnecessary hardships exacerbate pre-existing discrimination in Academic Medicine, further marginalizing IMGs. In this article, we discuss the prevalence of "medical inferiority bias" and the resulting impact on US healthcare, specifying considerations to be made from a policy perspective.
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 | 0.007 | 0.009 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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