Indigenization in STEM: An Environmental Scan of Leading Research Universities across Canada (the U15)
Bibliographic record
Abstract
Each member of the U15 -- a Canadian association of fifteen leading research universities -- has a strategic plan regarding Decolonization, Indigenization, and Reconciliation, and has developed STEM teaching and learning initiatives to address their goals. We seek to better characterize the current state of Indigenization in STEM faculties across the U15 through an environmental scan to determine existing initiatives working towards achieving the goals of Indigenization. This scan includes, for each university, the strategic plan, the official website, and associated grey literature. Three overarching themes were identified in the strategic plans: (1) developing and implementing Indigenous Knowledges in curricula; (2) recruiting Indigenous students, staff, and faculty; and (3) supporting Indigenous students and staff to foster success. This environmental scan may provide examples of Indigenization efforts, allowing universities, on a national level, to take inspiration for future actions, with modifications for their specific situation, community, and place.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.034 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".