From the minds of youth: exploring Inuit youth resilience within a changing climate and applications for climate change adaptation in Nunatsiavut, Labrador, Canada
Bibliographic record
Abstract
The Canadian North is experiencing rapid social, cultural, economic, political, and environmental change that have direct impacts on the lives of Inuit living in this region, as well as serious implications for the future of the Inuit youth. Essential to facing this challenging context is a resilient youth population with the adaptive capacities and coping skills to respond to multiple stressors and pressures. This thesis considers the question of how to foster youth resilience and support youth protective factors that enhance youth well-being and can help young people deal with change, specifically climate change. To answer this question, a systematic literature review, a community-based, youth-led, cross-cultural participatory video project, and a regional community-based study were undertaken to explore youth-identified protective factors and examine challenges to these factors from youth perspectives and experiences. Specifically, this thesis characterizes the protective factors that influence Circumpolar Indigenous youth mental health resilience to climate change; explores participatory video as a process that can foster protective factors thereby demonstrating potential to be used in adaptation as a way to enhance youth resilience; documents youth-identified protective factors that support mental health and well-being amidst change (i.e. social, cultural, economic, or environmental); and examines how climatic changes and related environmental impacts challenge these factors throughout the region of Nunatsiavut from a youth perspective. The findings from this work highlight the importance of youth voices, perspectives, and involvement within research and practitioner communities, and contributes to the growing body of research on Circumpolar Indigenous youth resilience that can inform climate change adaptation efforts.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".