“I spent the first year drinking tea”: Exploring Canadian university researchers’ perspectives on community‐based participatory research involving Indigenous peoples
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) is generally understood as a process by which decision‐making power and ownership are shared between the researcher and the community involved, bi‐directional research capacity and co‐learning are promoted, and new knowledge is co‐created and disseminated in a manner that is mutually beneficial for those involved. Within the field of Canadian geography we are seeing emerging interest in using CBPR as a way of conducting meaningful and relevant research with Indigenous communities. However, individual interpretations of CBPR's tenets and the ways in which CBPR is operationalized are, in fact, highly variable. In this article we report the findings of an exploratory qualitative case study involving semi‐structured, open‐ended interviews with Canadian university‐based geographers and social scientists in related disciplines who engage in CBPR to explore the relationship between their conceptual understanding of CBPR and their applied research. Our findings reveal some of the tensions for university‐based researchers concerning CBPR in theory and practice.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.058 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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