Indigenous Youth & Northern Perspectives in Arctic Expedition-based Education
Bibliographic record
Abstract
This presentation outlines an evaluation research project conducted in partnership with Students on Ice (SOI), a non-profit educational foundation that takes youth to the Polar Regions. The research identifies aspects of SOI’s education program significantly impacting northern youth participants, most of whom are Indigenous (Inuit), in terms of: supporting personal growth, education and leadership skills, and encouraging ongoing dialogue regarding important Arctic issues. Drawing from participant observation, document analysis, small group student interviews, staff interviews, student worksheets and follow up interviews, two aspects of the program were found to be particularly meaningful: 1) a pre-program tailored specifically for northern youth before the expedition, and 2) open discussion of “truth and reconciliation” issues, including government-enforced Indigenous community relocations; youth suicide and intergenerational trauma; and, contemporary resurgence of Indigenous culture, language and traditional practices (i.e. art). This research contributes to sustaining and further developing educational program models that grow and nurture northern leaders, educators and advocates who can continuously participate in dialogue and action regarding Arctic challenges.
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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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".