Reciprocal Inuit and Western research training: facilitating research capacity and community agency in Arctic research partnerships
Bibliographic record
Abstract
Engaging community partners to work as co-researchers and research assistants for research involving Inuit communities or regions helps to ensure the equitable recognition of community and researcher priorities, mutual trust and respect, participation by local participants, inclusion of local knowledge and local uptake of research findings. However, research knowledge still in development among community members has been described as a barrier to effective Arctic community research partnerships. This paper describes two 3-day, cross-cultural research training workshops held in the Nunavut communities of Arviat and Iqaluit during Spring 2017. The purpose was to encourage reciprocity as a basis for research training that incorporates both Western and Inuit approaches and that emphasises relationship building to benefit both Inuit and non-Inuit research communities. A review of participant responses to the workshops suggests value in using an integrated Western-Inuit framework of educational objectives to guide the training. Responses suggest the workshops helped improve understanding of research practices and ethics rooted in different traditions for participants interested in assisting with or conducting research in Canada's Arctic communities.
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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 | 0.040 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.011 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.026 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".