A Hunger to Teach: Recruiting Inuit Teachers for Nunavut
Bibliographic record
Abstract
We describe findings from participatory research conducted by a southern-based researcher from Thunder Bay, Ontario, and Nunavut Arctic College’s Teacher Education Program students. Together, they interviewed 128 high school students from 11 communities to determine what attracts Inuit youth to teaching and what might discourage them from becoming teachers. The research was based on the premise that Nunavut’s schools cannot be Inuit schools without many more Inuit teachers. We found that many Inuit youth have considered becoming teachers, but they face barriers to doing so. They expressed concerns about housing, finances, leaving their home communities, and their own academic preparedness. Many lacked information about teacher education programs. We recommend addressing these concerns, in part, by using Nunavut Teacher Education Program students to educate high school students about the program and to encourage them to become teachers.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 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".