SCHOOLING ORGANIZATION OF ABORIGINAL CHILDREN IN CANADA
Bibliographic record
Abstract
In the article the problem of aboriginal peoples’ education in Canada has been studied. Canada has one of the most advanced education systems in the world. It is multicultural country, the population of which embraces representatives of different nationalities as well as aboriginal peoples. \n\nThe analysis of scientific and pedagogical literature, which highlights the distinct aspects of the research subject, has been conducted. It is cleared that education in Canada has been studied by foreign and Ukrainian scientists: T. Kuchay, J. Edwards, N. Francis, J. Reyhner have studied schooling; O. Barabash, N. Mukan, M. Leshchenko have researched lifelong learning; Yu. Shyyka, S. Shapson, V. O’Doyley, L. Olber have analyzed bilingual education, etc. C. Andersen, A. Johns, J. Cummins, Y. Hebert, D. McCaskill, H. Raham, J. Friesen, V. Friesen, J. Lambe have studied education of aboriginal peoples of Canada.\n\nThe goal of the article is defined as research of schooling organization of aboriginal children in Canada. The objectives of the article are as following: to analyze the scientific and pedagogical literature devoted to the problem under research, to study the specificity of schooling organization of aboriginal children, and to define the factors which influence the aboriginal children’s progress.\n\nThe specificity of schooling of aboriginal representatives has been researched and it is cleared that there are three types of schools which aboriginal children attend (federal schools under the governance of the Department of Aboriginal Affairs and Northern Development Canada; band-operated schools; regular provincial public schools).\n\nAccording to research results there has been noted the tendency of lower indicators of aboriginal children’s progress in comparison with other population categories. There are external and internal factors which influence the level of aboriginal children’s progress. Among external factors we determine social and economic (poverty, the low level of welfare, illnesses, distance obstacles) and among internal ones – pedagogical (destructive learning environment which strengthen misunderstanding between teachers and aboriginal students, differences between learning outcomes of aboriginal and other students, inadequate handbooks which neglect polycultural aspect of learning materials; nonparticipation in school life and extracurricular activities of aboriginal students; parents’ noninterest in children’s learning).\n\nThe authors determine the factors which can change the situation. Among them they strengthen the necessity to provide polycultural academic programs, organization of productive learning environment, employment of aboriginal teachers or those who are able to construct the creative learning environment, schools reorganization and restructuring, opening of alternative schools.\nThe research results have been presented and the perspectives for further research have been defined.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".