Bibliographic record
Abstract
For Canada Natives, the unresolved issue of postsecondary education as a treaty right is at the center of discord in relation to budget constraints. The government's fiduciary responsibilities have devolved to First Nations administration, which allows for greater tribal control over the economics of individual First Nations and jurisdiction for the protection of treaty rights. However, devolution has not benefitted most First Nations in terms of the amount of funding available for delivery of postsecondary programs and services, including adult literacy, upgrading, trades, and technical training. National budget allocations determine funding for programs and services under First Nations administration. The off-loading of postsecondary education has resulted in decreases in staffing and administration dollars and increases in student waiting lists. These funding constraints come at a time when First Nations require an educated labor force to deliver programs and services to a growing population. The political climate makes it difficult for First Nations to assert education as a treaty right. Full accessibility to university education is questionable as First Nations struggle to honor the perceived right to education while being forced to create a policy that limits the number of students who may enter universities. It is a situation where First Nations administrators have become keepers of the peoples' destiny. (TD) Reproductions supplied by EDRS are the best that can be made from the original document. U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) his document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIALHAS BEEN GRANTED BY
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.119 | 0.037 |
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".