Bibliographic record
Abstract
Abstract Participatory research is the science of partnerships underlying research, concerned with research governance, ownership of research products, and relationships behind research objectives and methods. The common strand behind the quite different schools of participatory research is that research should be in respectful partnership with people; it is not about researchers working on, for, or about people. Modern participatory research embraces different philosophies through several applications. The first application addresses research objectives, with participation at different points in the research cycle. Second, modern participatory research is relevant in adaptive management, including management of primary health care. Third, participatory research is a tool for patient engagement and patient‐centered outcomes in the clinical context. A fourth application is participatory research as an intervention: Participatory research moves people, and it mobilizes resources and can thus be pivotal to sustainability and for health‐promoting intersectoral linkages. As primary health care is a family medicine responsibility, participatory research offers family medicine a valuable toolbox complementing the accepted clinical toolboxes. Through shared identification of problems and decisions about solutions, participatory research increases participant capacity to identify and address their own issues. Among clinicians, it enhances professional practices. In the bigger social picture, all this promotes social justice, self‐determination, and knowledge utilization.
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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 | 0.225 | 0.132 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.007 | 0.080 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".