Problematizing assumptions about interdisciplinary research: implications for health professions education research
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
This article critically examines three assumptions underlying recent efforts to advance interdisciplinary research-defined in this article as communication and collaboration between researchers across academic disciplines (e.g. Sociology, Psychology, Biology)-and examines these assumptions' implications for health professions education research (HPER). These assumptions are: (1) disciplines are silos that inhibit the free flowing of knowledge across fields and stifle innovative thinking; (2) interdisciplinary research generates a better understanding of the world as it brings together researchers from various fields of expertise capable of tackling complex problems; and (3) interdisciplinary research reduces fragmentation across groups of researchers by eliminating boundaries. These assumptions are among the new beliefs shaping the contemporary academic arena; they orient academics' and university administrators' decisions toward expanding interdisciplinary research and training, but without solid empirical evidence. This article argues that the field of HPER has largely adopted the premises of interdisciplinary research but has not yet debated the potential effects of organizing around these premises. The authors hope to inspire members of the HPER community to critically examine the ubiquitous discourse promoting interdisciplinarity, and engage in reflection about the future of the field informed by evidence rather than by unsubstantiated assumptions. For example: Should research centres and graduate programs in HPER encourage the development of interdisciplinary or disciplinary-trained researchers? Should training predominantly focus on methods and methodologies or draw more on disciplinary-based knowledge? What is the best route toward increasing the field's profile within academia and attracting the best students and researchers to engage in HPER? These are questions that merit attention at the current juncture as the future of the HPER field relies on decisions made in the present time.
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 | 0.053 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.001 |
| 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 it