Rebuilding relations and countering erasure through community‐driven and owned science: A key tool to Inuit self‐determination and social transformations
Bibliographic record
Abstract
Abstract This article explores the meaning of community‐driven and owned science in the context of an Inuit‐led land‐based program, the Young Hunters Program. It is the foundational program of the Arviat Aqqiumavvik Society, situated in Nunavut, Canada, a community‐led group dedicated to researching challenges to community wellness and designing and delivering programs to help address those challenges. We show how the program emerged locally and blends Indigenous knowledge systems (IKS) with tools of western science in respectful ways given its core sits within and emerges from what Inuit have always known to be true. We offer a description of six dimensions inherent in Inuit cultural practices and beliefs and foundational to the program activities and show how they open up various learning trajectories and possibilities for the involved young people to engage in community science. We then discuss in what ways the revitalization of IKS and practices led to community science projects that were locally meaningful and empowering with important implications for scientific work that mattered in light of locally experienced and devastating climate change threats. The study speaks to the importance of rebuilding relations and decolonizing knowledge systems and science practices, two key tools to Inuit self‐determination and social transformations, and essential to achieving more social justice and equity in and beyond community science.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.041 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".