Inuit student teachers' agency, positioning and symbolic action: reflections from a <i>qallunaat</i> on music teaching in the Canadian Arctic
Bibliographic record
Abstract
This article examines how three Inuit student teachers in the Nunavut Teacher Education Program invested their social and cultural capital during a music course for classroom teachers, which the author taught in the Canadian Arctic. She describes how, through the musical games they invented for use in Inuit classrooms, these students positioned themselves as agents of their own learning and as wielders of power in the context of emergent Inuit education. Three examples of their invented musical games are presented to illustrate these processes. The author concludes that in increasingly culturally diverse teaching contexts it is important to be conscious of our students' habitus – the embedded history, the unconscious set of ideas, beliefs and emotions that guide how we think, feel and act – in our decisions regarding content, goals and evaluations of achievement.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.044 | 0.016 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".