Climate Change and the proposed Canadian Northern Corridor
Bibliographic record
Abstract
The Canadian Northern Corridor is a concept for a multi-modal (road, rail, pipeline, electrical and communication) transmission corridor through northern Canada. This paper reviews scientific evidence about potential impacts of climate change in northern Canada and implications for future corridor development. The results show that climate change impacts are already being experienced through northern Canada and are expected to continue and potentially worsen in the future. Permafrost thaw, sea ice melt, extreme weather events, and changes in coastal processes (e.g. sea level rise, erosion), among other impacts, threaten the construction, maintenance, and operation of infrastructure within the corridor. Climate change impacts are likely to affect the feasibility and costs of some infrastructure, and create on-going challenges to operations. Climate change impacts are highly localized and a disturbance at one chokepoint in the corridor could compromise the operation of the whole corridor. More research is needed to examine climate change impacts at local scales to understand the characteristics of the physical environment and how it is changing, as well as how existing human activities may conflict with the corridor. Efforts are needed to engage relevant Indigenous peoples, Indigenous organisations, and local communities early in corridor discussions to identify if a corridor is desirable and relevant to them, and whether it can be developed in a manner that sustains livelihoods, culture, health, and well-being.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".