Navigating International, Interdisciplinary, and Indigenous Collaborative Inquiry
Bibliographic record
Abstract
This report describes how multiple community constituents came together with university researchers to develop a shared agenda for studying young indigenous people in five international circumpolar communities. The paper focuses on the setup and process of an initial face-to-face methodological planning workshop involving youth and adult community members and academics. Members of Yup’ik, Inupiat, Eveny, Inuit, and Sámi communities from Siberia to Norway participated in the workshop and engaged in negotiations to arrive at shared research interests. This was essential since the ultimate goal of the research is translational and transformative, spurring social action in communities. Describing the beginning stage of this project and the underlying participatory methodology offers insight into how the approach engaged community members with varying degrees of sustained interest and practical success. It, therefore, articulates a methodological approach for international community-based participatory research.
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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 | 0.080 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.023 | 0.030 |
| Scholarly communication | 0.018 | 0.012 |
| Open science | 0.003 | 0.024 |
| Research integrity | 0.003 | 0.003 |
| 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".