How Culture Is Understood in Faculty Development in the Health Professions: A Scoping Review
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
PURPOSE: To examine the ways in which culture is conceptualized in faculty development (FD) in the health professions. METHOD: The authors searched PubMed, Web of Science, ERIC, and CINAHL, as well as the reference lists of identified publications, for articles on culture and FD published between 2006 and 2018. Based on inclusion criteria developed iteratively, they screened all articles. A total of 955 articles were identified, 100 were included in the full-text screen, and 70 met the inclusion criteria. Descriptive and thematic analyses of data extracted from the included articles were conducted. RESULTS: The articles emanated from 20 countries; primarily focused on teaching and learning, cultural competence, and career development; and frequently included multidisciplinary groups of health professionals. Only 1 article evaluated the cultural relevance of an FD program. The thematic analysis yielded 3 main themes: culture was frequently mentioned but not explicated; culture centered on issues of diversity, aiming to promote institutional change; and cultural consideration was not routinely described in international FD. CONCLUSIONS: Culture was frequently mentioned but rarely defined in the FD literature. In programs focused on cultural competence and career development, addressing culture was understood as a way of accounting for racial and socioeconomic disparities. In international FD programs, accommodations for cultural differences were infrequently described, despite authors acknowledging the importance of national norms, values, beliefs, and practices. In a time of increasing international collaboration, an awareness of, and sensitivity to, cultural contexts is needed.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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