THE EDUCATION GAP IN INDIGENOUS COMMUNITIES: CANADA’S REALITY
Bibliographic record
Abstract
Canada’s history with the indigenous community is a long and complex. History which spills over to current events in society and impacts the Indigenously community greatly till this day. This country has a concerning Indigenous Education Gap—a disparity in educational achievement between Indigenous and non-Indigenous people. The Indigenous Education Gap is widening and rising quickly across Canada. Bridging the education gap is thus a critical component of any plan for enhancing the prosperity, health, and well-being of Canada's indigenous population, as well as eliminating marginalization. Education is one of the many concerns that Indigenous people in Canada must tackle. The acts of previous Canadian administrations, both implicit and explicit, have resulted in a considerable educational disparity between Indigenous and non-Indigenous pupils. The western system of education is inherently exclusive, and its fundamental educational process is based on privilege. Resolving the enormous and ongoing inequalities in student educational learning results must be based on Indigenous notions of education, rather than a standard western/colonial approach
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.045 | 0.022 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".