Youth-led research: assessing the vulnerability of Inuit youth in Arctic Bay to social and environmental change
Bibliographic record
Abstract
This thesis is an investigation of the vulnerability of Inuit youth to changing social and environmental conditions in Arctic Bay, Nunavut. A youth-led participatory action research model, including a focus group of twelve participants and sixty-six online surveys, was used to gain insight into the risks and adaptive strategies associated with social and environmental change. Further, nine in-depth interviews were conducted with adults working on youth programs and policies to determine community concerns regarding the ability of Inuit youth to adapt to social and environmental change. This research shows that interacting social and environmental conditions are placing increased pressure on an already stressed section of the population. The ability to adapt to changing social and environmental conditions is realized differently amongst Inuit youth, citing access to income, employment, education, infrastructure, and involvement in local youth activities as key determinants of adaptation. Inuit have shown that they have a considerable ability to adapt, however, adaptation options for Inuit youth are limited by social and environmental conditions that require investment in existing and successful institutions and programs, as well as the development of policies that reduce social and economic disparities and promote cultural identity within a changing society.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".