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Record W2766750683 · doi:10.3138/jcs.51.1.112

Canada under the DEWline

2017· article· en· W2766750683 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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Canadian Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsnot available
Fundersnot available
KeywordsMilitarismSociologyLawEnvironmental ethicsAestheticsHistoryPolitical sciencePoliticsPhilosophy

Abstract

fetched live from OpenAlex

The Distant Early Warning Line (DEWline) marks the intersection of military-­technological and cultural discourses. It was both a radar system and a conceptual way-station in the fraught history of Canada’s Arctic, a punctuation point between the utopian socialism of F.R. Scott’s “Laurentian Shield, the “near-future warnings” of Marshall McLuhan, and the ecological anxiety of our contemporary North. Further, the DEWline exists at the intersection of national, civilian space—it is, after all, designed for defence—and the totalities of the Cold War. As such, the DEWline is productive, challenging, and elusive. It is a measure of both weaponized information and nuclear anxiety, as well as a literal contact zone between what Rachel Woodward calls militarism’s “moral order” and the cultural work of a critic like McLuhan or a poet like Scott. It is also one way in which civilians can understand how militarism’s discourses and ­epistemologies construct landscapes and subjects far beyond the range of its radar.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.692
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.079
GPT teacher head0.349
Teacher spread0.270 · 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