The residential school experience: residual effects upon First Nations students in their understanding and mastery of tasks within the mathematics curriculum
Bibliographic record
Abstract
We examine the influence of Canadian governmental policies upon the ability of First Nations students to succeed in the understanding of mathematical principles. The materials used in the task consist of mathematical curriculum (the introduction of mathematical descriptors and geometric manipulation), pre-evaluated in Quebec, and having common syllabus in British Columbia. After establishing standards of comparison with a Montreal sample population, materials are taught to two separate, small communities of First Nations students. One group attends a Band-administered institution, while the second set is subject to the regulations of the public sector. It was assumed that there is no readily identified impediment to Aboriginal students succeeding in mathematics, beyond those that influence other normal populations. Whatever factors contributed towards the failure of Native students to maintain demographic consistency was due to external issues not relevant to the curriculum, but affecting its instruction. Our study shows that, despite using Euro-traditional instructional methods and evaluation tools not screened for cultural bias, Aboriginal students actually fared better in the materials presented than did the comparative group. It also suggests that subsequent success becomes a function of teacher influence isolating classroom issues emanating from prior generations, and debilitating the children's learning paths. Such resistance may be overcome by non-Aboriginal teachers when they are attuned to the historical imperialism of their roots, and integrate curriculum needs with traditional Aboriginal learning methods. Further research is also required to assist teachers in isolating social behaviour from true learning, which may have application in multi-racial institutions
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".