Bibliographic record
Abstract
Canadian Indigenous education includes education for Indigenous learners at all levels and ages and learning about Indigenous peoples’ history, cultures/knowledges, and languages for all learners in educational systems. In Canada, the journey of Indigenous people toward self-determination for Indigenous education continues to be a key challenge for government, policy makers, and Indigenous organizations. Self-determination approaches are not new. They originated in traditional forms of education that were created by and for Indigenous peoples. These authentic Indigenous approaches were disrupted by colonial educational policies enacted by state (federal government) and church that separated Indigenous children from their families and communities through boarding and Indian residential schools for over 100 years. Generations of Indigenous people were negatively impacted by these colonial educational policies and legislation, which contributed to lower educational levels among Indigenous peoples compared to non-Indigenous peoples in Canada. In response, Indigenous peoples have resisted assimilationist attempts by organizing politically, engaging in national research and commissions, and developing educational organizations to regain and revitalize self-determining approaches to Indigenous education. Indigenous peoples have played significant decision-making roles through the following national policies, research, and commissions that created opportunities for educational change: the 1972 Indian Control of Indian Education Policy; the 1991–1996 Royal Commission on Aboriginal Peoples; and the 2008–2015 Truth and Reconciliation Commission of Canada. A prevalent discourse in Canadian education specifically and Canadian society generally is about reconciliation. For Indigenous peoples, reconciliation cannot happen until educational systems ensure that Indigenous peoples have a central role in making policy and programmatic decisions, and that Indigenous knowledge systems are placed respectfully and responsibly in education at all levels. Another common discourse is about Indigenizing the Academy or Indigenizing education, which also cannot occur without Indigenous people’s direct involvement in key decision-making approaches. The Indigenous educational landscape in Canada is showing signs of slow but steady growth through Indigenous self-determination and Indigenous knowledge approaches to teaching, learning, and research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".