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Record W7061357907

Radars and Ruin: The Environmental Legacy of Cold War Operations in the Canadian Arctic

2025· article· en· W7061357907 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks -A service of University of Vermont Libraries (University of Vermont) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsnot available
Fundersnot available
KeywordsHegemonyArcticCircumpolar starPopulationGlobeTourismWork (physics)Cold war
DOInot available

Abstract

fetched live from OpenAlex

As the Second World War came to a close and tensions rose between the Soviet Union and the United States, the destructive capabilities of the air age became clear when, in reflection of the technologic capabilities of the air age, cartographic representations of the globe used a circumpolar orientation to position the North Pole as the center of global strategic power. Geography no longer ensured US security – Moscow could launch attacks over the Arctic to reach centers of industry and population in the lower 48 states. These realizations resulted in a number of joint US-Canadian operations in the Canadian Arctic to ensure continental security. This work utilizes the history of the Distant Early Warning (DEW) Line project, a chain of radar networks that stretched across North America’s 69th parallel, to emphasize Washington’s postwar hemispheric hegemony through the invasion of Canadian sovereignty. In addition to examining how the phases of the DEW Line’s construction and operation aggravated Canadian-American relations, an environmental lens that investigates the ecological consequences of the project’s abandonment in the early 1960s reveals a concrete violation of Canadian sovereignty by Washington. Using a wide range of sources, including diplomatic correspondences, newspaper articles, intergovernmental debates, and even crossing disciplines to integrate scientific studies, this work provides a new framework to emphasize the hemispheric hegemony held by Washington in the postwar period.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueScholarWorks -A service of University of Vermont Libraries (University of Vermont)Same topicGyrotron and Vacuum Electronics ResearchFrench-language works237,207