Can the democratic ideal of participatory research be achieved? An inside look at an academic-indigenous community partnership
Bibliographic record
Abstract
Democratic or equal participation in decision making is an ideal that community and academic stakeholders engaged in participatory research strive to achieve. This ideal, however, may compete with indigenous peoples' right to self-determination. Study objectives were to assess the perceived influence of multiple community (indigenous) and academic stakeholders engaged in the Kahnawake Schools Diabetes Prevention Project (KSDPP) across six domains of project decision making and to test the hypothesis that KSDPP would be directed by community stakeholders. Self-report surveys were completed by 51 stakeholders comprising the KSDPP Community Advisory Board (CAB), KSDPP staff, academic researchers and supervisory board members. KSDPP staff were perceived to share similar levels of influence with (i) CAB on maintaining partnership ethics and CAB activities and (ii) academic researchers on research and dissemination activities. KSDPP staff were perceived to carry significantly more influence than other stakeholders on decisions related to annual activities, program operations and intervention activities. CAB and staff were the perceived owners of KSDPP. The strong community leadership aligns KSDPP with a model of community-directed research and suggests that equitable participation-distinct from democratic or equal participation-is reflected by indigenous community partners exerting greater influence than academic partners in decision making.
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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 | 0.378 | 0.310 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.021 | 0.151 |
| Scholarly communication | 0.044 | 0.048 |
| Open science | 0.004 | 0.031 |
| Research integrity | 0.010 | 0.018 |
| Insufficient payload (model declined to judge) | 0.004 | 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".