Interdisciplinary health research: perspectives from a process evaluation research team.
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
BACKGROUND: Interdisciplinary health research (IDHR) is increasingly encouraged and is often a specific requirement for research grants provided by health research funding councils worldwide. There is consensus that research expertise and scholarship from a diverse range of disciplines are necessary to examine questions relating to complex health and social concerns for which single disciplinary approaches have been found inadequate. METHODS: This paper reports on the experiences of an interdisciplinary process evaluation research team working in the field of stroke care. RESULTS: Realising the perceived benefits is less than straightforward; setting up and conducting IDHR can present researchers with a range of challenges at a strategic, practical and individual level. We identify how differences in disciplinary perspectives and skills impacted on our research practice. CONCLUSIONS: Whilst initially challenging, our different approaches to the research problem and the methods to address it, expanded conceptual and methodological understanding and proved of benefit for the research team and the study outputs.
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 | 0.110 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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