Disrupting Ignorance and Settler Identities: The Challenges of Preparing Beginning Teachers for Treaty Education
Bibliographic record
Abstract
In the fall of 2008, the Provincial Government of Saskatchewan announced mandatory treaty education for all students in K-12 schooling. Given the foundational importance of treaties and the treaty relationship to Canada, and ongoing reconciliation efforts with First Nations people, this initiative is to be celebrated. However, a central concern exists regarding the implementation of treaty education in Saskatchewan schools. To that end, this paper discusses research, with 348 predominately white, teacher education candidates at the University of Regina, regarding their knowledge, (mis)understandings, and experiences with treaty education, in both grade school and university contexts. Using critical race theory as a lens through which to conceptualize and make sense of the research, along with theories of ignorance as an epistemological exercise, the paper illustrates the imperative of enacting treaty education given (white) settler students struggles(and refusals) to connect their own social and economic privileges to treaties.Keywords: Treaty education; critical race theory; curriculum
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 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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.025 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".