An Exploration of Potential Directions for Climate Change Policy in Northern Canada
Bibliographic record
Abstract
Climate change is a global issue whose causes and consequences require action at local, national and global levels. Despite the relatively small contribution to greenhouse gas emissions, which are the cause of anthropogenic climate change, by residents of Northern Canada, scientists project changes in average annual temperatures in the North to be among the highest in the world. If Northerners are to cope effectively with the potential impacts of climate change it is important that more precise understandings be achieved, of what may happen (and what is already beginning to happen), as well as actions of a precautionary nature that can be taken now, and what actions will likely be required in the longer term. This document provides information, suggestions and a possible framework for developing integrated climate change policy options and implementing measures for Northern Canada. While the focus of the paper is the situation in the North, basic policy considerations are addressed, as is the global context that influences national frameworks and local initiatives. To conclude, tentative policy choices are proposed and discussed, within the overall context of the global dilemma that climate change presents, for the design of coherent regional public policy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".