Leadership for Climate Change Adaptation In a Rural Region in New Brunswick, Canada
Bibliographic record
Abstract
Many rural communities across Canada are experiencing or anticipating climate change effects. Our study, a contribution to the limited social science research on adaptation in rural regions in this country, focused on a rural, forest-dependent, francophone region of New Brunswick on unceded Wolastoqiyik territory. In collaboration with a regional governance organization, we developed and administered a survey to gather the perspectives and experiences of rural community leaders on climate change adaptation. The study results are intended to provide a basis for discussion to support regional adaptation planning. They may also be used as a baseline for measuring future advances in climate adaptation efforts. Theories of new social movements, Indigenous resurgence, and organizational leadership informed our investigation and analysis. Our study focuses on three themes identified in the literature review critical to supporting environmental action: leadership, communication processes, and relationships. Our core research question is: To what extent are community leaders in the rural study region engaging in these functions? We conclude with reflections on how climate change adaptation is occurring in this rural region and the role of regional governance in this process. Keywords: rural, climate, adaptation, leadership, Wolastoq
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".