Seeing whiteness as property through Métis teachers’ K-12 stories of racism
Bibliographic record
Abstract
Collaboration among Indigenous Peoples and the Saskatchewan government in Canada has led to Indigenous K-12 education progress concerning First Nations and Métis peoples, the Indigenous populations whose traditional territories exist within Saskatchewan. Acknowledging such advancements, this paper is concerned with how white identified students continue to graduate with higher completion and achievement rates than Métis and First Nations students. Critical race theory (CRT) can assist with understanding how racialised statistics persist in spite of decades of government administered Indigenous education initiatives and mandates. Contributing to anti-racist informed Indigenous education scholarship, this study applies aspects of CRT scholar Cheryl Harris’s whiteness as property theory to a qualitative critical race methodological analysis of 13 Métis teachers’ K-12. stories of racism. When viewed from a CRT lens, the findings suggest Métis teachers’ experiences with racism in K-12 schools can contribute to our understanding of how to ensure democratic and racially just practices.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".