On crowns, caravans and windmills: Commentary on an essay by Turcotte P., et al.
Bibliographic record
Abstract
Patient-oriented research (POR) is a trend that has emerged over several decades and is particularly prominent in Canada, the United States and the United Kingdom. It involves patient and other stakeholder participation in the planning, conduct and dissemination of biomedical and health services research and it can be seen as a form of public participation and engagement in activities that affect the lives and well-being of communities. Criticisms of POR revolve around its susceptibility to tokenistic treatment of patient participants and paternalistic dominance of the research agenda by professional researchers, academics and clinicians. This commentary addresses one such critique by situating the POR agenda within the challenges and dilemmas faced by the health-related research enterprise over the past 30 years. It will explore the interface between POR, community activism and community-based participatory research. The contextual importance of the COVID-19 pandemic experience is stressed. The commentary will particularly focus on the US-based Patient Centred Outcomes Research Institute, its origins within a movement to enhance emphasis on publicly funded comparative effectiveness research, and its more recent evolution in the direction of community empowerment in POR.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.104 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.009 | 0.006 |
| Research integrity | 0.050 | 0.066 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".