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Record W6999025690

Beyond the Arctic: the strategic and national security implications of climate change for Canada.

2020· other· en· W6999025690 on OpenAlexaboutno aff

Bibliographic record

VenueIke Skelton Combined Arms Research Library (CARL) Digital Library (US Army Combined Arms Center) · 2020
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeNational securityEnvironmental securityPolitical economy of climate changeGlobal warmingPopulationInternational securityNatural resourcePolitics
DOInot available

Abstract

fetched live from OpenAlex

Within the last thirty years, linkages between climate change, inter or intra-state conflicts, and national security have become more apparent. Three main adverse impacts of climate change impinge on environmental security: resource scarcity, the increase in frequency and intensity of natural hazards, and human migration. Additionally, current projections regarding global population growth, climbing temperatures, rising sea levels, and political instability suggest that the impact of climate on global and national security will likely continue to feed the conflict cycle and escalate tensions worldwide. Given this context, this monograph will investigate the impacts of global climate change on the environmental and national security of Canada and the repercussions for the Canadian Armed Forces beyond the Arctic. This monograph is divided into four sections. The first section will provide a summary of the current state of affairs regarding climate change as a global phenomenon influencing environmental security. The second section will trace the linkages between the current environment and the ramifications for Canada as a nation. The third section will focus on Canada's national security policy in a climate-changing world. The last section will conclude the monograph and offer observations and implications for the contemporary and future of the CAF.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0050.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.282
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2020
Admission routes1
Has abstractyes

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