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Record W2061787811 · doi:10.1093/envhis/12.4.920

The Cold War on Canadian Soil: Militarizing a Northern Environment

2007· article· en· W2061787811 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental History · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of TorontoUniversity of Waterloo
Fundersnot available
KeywordsMilitarizationMilitary historyPolitical scienceCold warHistoryMilitarismMilitary theoryModernization theoryMissileMilitary scienceGeographyEnvironmental ethicsLawArchaeologyPolitics

Abstract

fetched live from OpenAlex

Given the low standard of contact between environmental and military historians, it is unsurprising, if regrettable, that the relationship between military activity and natural landscapes in Canada has received minimal scholarly attention. This paper seeks to open space for such an environmental history of militarism and militarization. Focusing on the Cold War and its aftermath, the essay documents the history of military activity on Canadian soil, with an emphasis on the North, specifically examining a set of crucial projects and operations that redefined not only physical terrain but associated imaginative understandings of nature. The history of Cold War Canada is littered with suitable examples, from early military exercises and the construction of the Distant Early Warning (DEW) radar line to more recent missile tests and low-level training flights. While it is crucial that these are understood in environmental terms, a genealogy of military activity in the Canadian North reveals changing and at times contrasting approaches to the military-environment relationship. Equally, however, as northern nature was viewed through a series of shifting strategic perspectives, it remained a target of state-driven modernization linked consistently to military objectives.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.455
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.006
GPT teacher head0.165
Teacher spread0.159 · 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