Regional climate change adaptation planning in Canada: Actors and their articulation
Bibliographic record
Abstract
Abstract Climate change governance presents challenges and most of the responsibility for it is offloaded to local governments often ill‐equipped to deal with it. In Canada, where climate extremes are on the rise, regional adaptation governance structures have emerged as an avenue for more efficient adaptation. Governance at this scale has the potential to mutualize expertise and means, to involve local population, and favour a vertical integration of the adaptation process. From selected examples of regional collaboration on climate change adaptation, in this short viewpoint paper, we identify some factors favouring such initiatives. The presence of “boundary organizations” such as research centres or non‐governmental organizations that can act as catalysts, is a predictor in all our cases and has been proposed in literature before. Funding opportunities can of course offer a strong incentive for various actors to get together. Other factors such as geographical or cultural particularities can shape communities’ response to the stress of climate change. More research should be led into understanding these factors and translate them into policies favouring the emergence of regional adaptation instances, especially in rural coastal zones, in Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".