Equality and Equity in Compensating Patient Engagement in Research: A Plea for Exceptionalism
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
Engaging citizens and patients in research has become a truism in many fields of health research. It is now seen as a laudable—if not compulsory—activity in research for yielding more impactful and meaningful citizen/patient outcomes and steering research in the right direction. Although this research approach is increasingly common and commendable, we recently encountered a major obstacle in obtaining an ethics certificate from an institutional review board (IRB) to conduct a study that places citizen/patient perspectives on equal footing with those of academic/policy experts. The obstacle was the interpretation of fairness in terms of compensation for research participation (i.e. honoraria). In terms of research ethics, this raised an important question: Should all types of participants be compensated equally, or should exceptions be made for citizen/patient participants? We argue that there are good reasons for exceptionalism and that clearer guidance on citizen/patient engagement in research should be embedded into research ethics doctrine.
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 | 0.086 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.007 |
| 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