Bibliographic record
Abstract
This project, which is informed by narrative inquiry, examines one teacher’s experiences as she navigated pedagogical challenges of teaching storytelling and hip hop in a First Nations school. The combination of changing educational contexts: shifting from teaching adults to teaching Indigenous youth had a significant outcome on the teacher’s initial attempts to move through the anticipated curriculum. A critical examination of the literature regarding teaching storytelling and hip hop across cultural boundaries, combined with personal journaling of her emergent teaching experiences, led the teacher to an effective and highly successful method of supporting learning through exploring clown and play, among other factors, to achieve enhanced relationships with her students. The project concludes with a description of considerations of personal, contextual, and theoretical factors which impacted her practice and the students’ experiences as well as recommendations for teachers beginning to work with First Nations students or other minority groups.
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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 | 0.019 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.091 | 0.047 |
| Scholarly communication | 0.024 | 0.013 |
| Open science | 0.008 | 0.024 |
| Research integrity | 0.029 | 0.069 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".