Assessing Organizational Participatory Research Partnerships in Health: A Content Validation Study
Bibliographic record
Abstract
ContextOrganizational Participatory Research (OPR) is a research approach, which sees researchers partnering with members from health organizations, e.g., clinicians and health managers, to improve organization practice (organizational learning).It is thought that better OPR partnership processes lead to more OPR extra-benefits, i.e., positive outcomes outside the anticipated types CONTRIBUTIONS TO ORIGINAL KNOWLEDGEThis dissertation research provides theoretical, empirical, and practical contributions.First, an innovative OPR partnership theory is produced.Second, validated tools that evaluate OPR partnerships, and that are based on the theory, are produced (OPREMs V3 and V4).Third, the OPREM V4 can be used to assess and improve OPR partnerships, which are important to foster organizational practice improvement.
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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 | 0.200 | 0.330 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".