An Aboriginal approach: what teachers need to know in public education
Bibliographic record
Abstract
The purpose of this research is to provide an understanding of what British Columbia K-12 teachers require to successfully teach First Nations students, First Nations content and First Nations culture.This thesis brings awareness of the need to prepare teachers to teach with a holistic pedagogical practice in order to close the achievement gap (Auditor General's Report pg.3.2015) that presently exists between Aboriginal and non-Aboriginal students The data collected for the purpose of this thesis was provided through the following; review of the literature, interviews with successful graduates of the University of Northern British Columbia, Bachelor of Education (B.Ed.) program, and Northern British Columbia Aboriginal School District Principals.The data brings awareness to future teacher preparation to meet the needs of K-12 Aboriginal students that, if followed, will lead to more Aboriginal students meeting success and graduating from the K-12 school system.In conclusion, this thesis provides recommendations that will serve to inform educators.
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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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.015 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".