Filling in the Gaps: Lessons Learned From Preservice Teachers’ Partnerships With First Nations Students
Bibliographic record
Abstract
In this paper, I report on a school-university collaborative research project that examined ways to merge the out-of-school literacy resources with school literacy practices for First Nations students in a small city in Western Canada. The project involved three interconnected groups of research participants: (a) a teacher researcher study group; (b) students from the participating teachers’ classes; (c) preservice teachers who were partnered with the students in literacy partnerships. Grounded in a “funds of knowledge” perspective, and utilizing ethnographic research methods, this qualitative study explored how students’ linguistic and cultural resources from home and community networks were utilized to reshape school literacy practices through their involvement in the Heritage Fair Program. This paper focuses on select lessons the preservice teachers learned through their partnerships with the First Nations students. Study findings suggest that the collaboration increased preservice teachers’ understanding of how Aboriginal culture could contribute to more successful teaching practices.
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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 | 0.001 | 0.001 |
| 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 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".