Overcoming Historical Factors that Block the Quest for Educational Equity in Canadian Schools
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Remedying school inequities in Canada requires actively confronting the challenges connected to Canada's national identity and history. These challenges uphold historically rooted, ongoing inequities that are tied together by three themes: the legacy of colonialism and the displacement and resource acquisition that provided (and continues to provide) wealth for the ruling elite; enslaved and under/unpaid racialized/ migrant labor that built and continues to uphold the infrastructure of the nationstate; and the discourses of Canadian identity centered on the perceived “nice and polite” Canadian and the peaceful multicultural mosaic of its vast land. Any effort to fully understand and address educational projects for change in Canada must engage with these three themes central to Canada's identity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it