Relationship-Based, In-Service Learning for Teachers of Indigenous Students
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
This article is about heartfelt teacher learning in K-12 publicly funded schools with Indigenous students’ school success at the centre. As part of her dissertation research, Moon (2019), a non-Indigenous educator, asked Indigenous and non-Indigenous educators in two provinces to share stories about their meaningful and productive collegial learning relationships, including how they believed Indigenous students benefited. The diverse stories point to varying interpersonal, institutional, and political dynamics, which indicated that meaningful and productive learning relationships between Indigenous and non-Indigenous educators exist in multiple settings and with diverse starting points and outcomes. Some key findings across stories are that students were central to educators’ learning relationships, educators saw each other as genuine and open, and a time commitment—both day-to-day and often over years—was evident. Keywords: Indigenous education, teacher development, cross-cultural learning
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 | 0.001 | 0.000 |
| 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