Op-Ed: First Nations Elementary & Secondary School Education – A National Dilemma
Bibliographic record
Abstract
During the past five years, First Nations elementary-secondary education has been the focus of some useful recommendations in two major reports: The Senate Standing Committee on Aboriginal Peoples in 2011, “Reforming FN Education: From Crisis to Hope,” and the 2012 Report of the National Panel on First Nations Elementary-Secondary Education. In response, the Harper government introduced Bill C-33 in 2014, the first-ever federal First Nations Education Act. Both reports identified much-needed reforms and despite vociferous opposition by most First Nations leaders the First Nations Education Act was a serious effort to accommodate some of them. But neither the reports nor the eventually torpedoed Bill C-33 zeroed in on the three key components that serve as the foundation of any education program: teachers, principals, and the curriculum. If these three elements remain untouched in the new Liberal government’s First Nations education policies, First Nations education outcomes will continue to be a national humiliation. This conceptual paper offers a critique of the provincial and federal governments’ approaches to remedying the dire condition of elementary and secondary school education for First Nations youth, with a focus on teachers, principals, and curriculum.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.022 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.018 | 0.028 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".