Beyond Collaboration: Principles and Indicators of Authentic Relationship Development in CBPR
Bibliographic record
Abstract
Authentic relationships, crafted through an ongoing process of engagement that results in shared priorities, are essential to working with, versus for, in or on community. Using a comparative analysis of a CBPR case study with two rural Métis communities, authors present shifts in individual attitudes and behaviors that represent principles for authentic relationship development. Reciprocal capacity building, relational accountability, and honoring cultural and personal boundaries are principles for authentic relationships that may be generalized across contexts to inform CBPR. Based on a process of collaborative inquiry, the authors propose two indicators of authentic relationships, including adaptability, as shown in decision-making, and shared values, reflected and achieved through inclusive reflexive practices. Using quantitative and qualitative methods to explore authentic relationship development made apparent the absence of authentic relationships in one case study. In conclusion, authors present the discussion and ultimate decision to step back from program delivery when authentic relationships are lacking.
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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 | 0.135 | 0.173 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.013 | 0.072 |
| Scholarly communication | 0.021 | 0.025 |
| Open science | 0.005 | 0.026 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".