“We Know We Are Doing Something Good, But What Is It?”: The Challenge of Negotiating Between Service Delivery and Research in a CBPR Project
Bibliographic record
Abstract
Engaging communities throughout the research process and responding to community priorities results in constant negotiation between service and research. Community-based participatory research has well established principles intended to guide both the process and goals of research with community. The authors contribute to the body of literature that speaks to the challenge of achieving CBPR ideals amidst the complexity of community realities. When university-based research is aligned with community-based service delivery, at least three sets of expectations must be balanced - those of the community, the university, and the funding agency. The complexity of achieving balance between the ideal and the reality of CBPR, and balance between service delivery and research, were explored using a cyclical process of debriefs throughout the delivery of a youth life skills program with Métis Settlements in Alberta. The value of the process and lessons learned are presented.
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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 | 0.182 | 0.152 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.054 | 0.082 |
| Scholarly communication | 0.024 | 0.013 |
| Open science | 0.005 | 0.017 |
| Research integrity | 0.011 | 0.019 |
| 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".