Who Benefits From Community-Based Participatory Research? A Case Study of the Positive Youth Project
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
Community-based participatory research (CBPR) has evolved as a popular new paradigm in health research. This shift is exciting, yet there is still much to discover about how various stakeholders are affected. This article uses a critical social science perspective to explore who benefits from these changes through an analysis of a CBPR case study (The Positive Youth Project). Two major categories of beneficiaries emerged: the research itself and the partner-stakeholders. The benefits, however, were not gained without substantial human resource investment, nor were they necessarily equitably spread. Participation costs included heavy demands of time, an added burden of work, frustration with the process, missing other opportunities, risking loss of anonymity, and loss of control. Care needs to be taken to ensure that concrete benefits accrue for all project partners and costs are minimized. Another way of framing benefits is to look at the community capacities built to address future health and social issues.
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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