The practical application of community-based participatory research in Greenland: Initial experiences of the Greenland sexual health study
Bibliographic record
Abstract
Increasingly, community-based participatory research (CBPR), with its emphasis on engaging communities as full and equal partners in all phases of the research process is being promoted to address the health needs of peoples living in the North American Arctic. However, the CBPR approach is not without its challenges in Arctic countries such as Greenland, where research capacity, different languages, distance, time and cost become barriers to remaining true to the purest form of CBPR. In this paper, we describe the practical application of CBPR principles and methodologies to a sexual health project investigating sexually transmitted infections in Greenland. We present the initial challenges encountered in the early stages of the pilot CBPR sexual health study, and solutions to these challenges. We also provide recommendations for expanding the capacity in Greenland to conduct CBPR projects.
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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 | 0.032 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.015 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".