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Record W4401809642 · doi:10.55016/ojs/sppp.v13i1.69570

Climate Change and the proposed Canadian Northern Corridor

2020· article· en· W4401809642 on OpenAlexfundaboutno aff
David Fawcett, Tristan Pearce, James D. Ford

Bibliographic record

VenueThe School of Public Policy Publications · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsClimate changeGeographyPhysical geographyClimatologyEnvironmental scienceGeologyOceanography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.090
Threshold uncertainty score0.656

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.006
Scholarly communication0.0060.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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.

Opus teacher head0.093
GPT teacher head0.323
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2020
Admission routes2
Has abstractyes

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