Deepening Knowledge to Inspire Action: Including Aboriginal Perspectives in Teaching Practice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Deepening Knowledge Project, through Ontario Institute for Studies in Education (OISE), undertook research within the Initial Teacher Education program to explore the relationships between teacher candidates and Aboriginal content. Our research question was, "Which strategies used within OISE’s Central cohort are most powerful in increasing teacher candidates’ willingness and readiness to incorporate Aboriginal knowledges and pedagogies into their classroom practice?" Data consisted of surveys administered to approximately 70 teacher candidates at three key points in their program as well as two rounds of interviews with five purposively selected participants. We found that teacher candidates most appreciated the inclusion of First Voice perspectives, in-depth instruction on current and historical events, and a continuous examination of privilege as means to prepare them for incorporating Aboriginal content into their future practice. While most students reported feeling more confident and willing to include Aboriginal perspectives near the end of their program, there are three commonly stated questions, reported on preprogram surveys that lead to inaction on Aboriginal inclusion. Addressing these questions directly should help encourage more teachers to take up Aboriginal perspectives in their classrooms. Keywords: Indigenous knowledge; teacher education; teacher resistance
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it