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Record W2804616724 · doi:10.1080/07075332.2018.1475404

The Sector Theory and the Canadian Arctic, 1897–1970

2018· article· en· W2804616724 on OpenAlexaboutno aff
Janice Cavell

Bibliographic record

VenueThe International History Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyGovernment (linguistics)Political scienceState (computer science)ConfusionPoliticsPolitical economyPublic sectorPublic administrationLawSociology

Abstract

fetched live from OpenAlex

Although European discovery in the Arctic began during the Middle Ages, sovereignty issues did not become a major concern until the early twentieth century. At that time, the controversial sector theory was taken up by Canada, the United Kingdom and the Soviet Union, but opposed by the United States and Norway. This article examines the sector theory in Canadian state practice, clarifying the version of the theory to which Canadian officials subscribed and the aims they hoped to achieve through its use. The international response to Canadian claims is also described.The article demonstrates that Canadian use of the sector principle during the 1920s was pragmatic and successful, but in later decades, confusion arose both inside and outside the government. Inconsistent public statements were made by government representatives in the 1950s and 1960s; these have puzzled and misled scholars ever since. Differences between the Canadian and Soviet versions of the sector theory, lack of adequate institutional memory in Ottawa, and partisan political rivalries all played a part in creating the confusion, but perhaps the key factor was the inherent difficulty of state control over this remote yet geopolitically crucial region.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.627

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0070.008
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.319
Teacher spread0.275 · 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
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

Citations4
Published2018
Admission routes1
Has abstractyes

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Same venueThe International History ReviewSame topicArctic and Russian Policy StudiesFrench-language works237,207