Debwewin: Indigenous Resurgence in the Complex Space of Reconciliation
Bibliographic record
Abstract
Abstract In 2020, the Setting New Directions to Support Indigenous Research and Research Training in Canada strategic plan was published by Social Sciences and Humanities Research Council (SSHRC), the Natural Sciences and Engineering Research Council (NSERC), and the Canadian Institutes for Health Research (CIHR). Co‐developed with Indigenous partners, it called for change within Canada's research ecosystem, including the development of appropriate mechanisms for verification to ensure that opportunities intended for Indigenous scholars are held by them. In 2023‐2024, SSHRC, NSERC and CIHR developed and published the Tri‐Agency Policy on Indigenous Citizenship and Membership Affirmation, in collaboration with Indigenous partners, which is being piloted in select programs in 2024‐2025. This article will explore the creation of the policy within the intersections of Indigenous resurgence through the assertion of Indigenous peoples' cultures, knowledge systems, and rights, and Canada's commitments to Indigenous rights and reconciliation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".