Advancing equity, diversity, inclusivity, and accessibility in primary care: The development of an integrated educational experience model
Bibliographic record
Abstract
This article presents the development of the Equity, Diversity, Inclusivity, and Accessibility (EDIA) Cross-Cutting Theme Project within the Team Primary Care (TPC) initiative, aimed at addressing systemic inequities through innovative educational strategies. Grounded in the social accountability of health professions framework, this project aims to equip primary care teams with the knowledge, skills, and attitudes necessary to promote health equity. The EDIA Integrated Educational Experience (IEE) model includes a self-assessment tool, digital learning space, and national mentorship network, providing a comprehensive approach for primary care teams to promote health equity. The IEE model utilizes a layered micro, meso, and macro approach to support cultural transformation within highly complex healthcare environments. Key lessons learned involve trust- and relationship-building processes to help dismantle historical silos and encourage open dialogue. Future efforts focus on implementation, ensuring adaptability, scalability, and sustainability, positioning the model as a catalyst for equitable primary care delivery.
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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.006 |
| 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".