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Record W4206467541 · doi:10.18254/s207054760017795-1

Canada and the Manhattan Crisis in the Arctic (1968–1970)

2021· article· en· W4206467541 on OpenAlexaboutno aff
Dmitry Volodin

Bibliographic record

VenueRussia and America in the 21st Century · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticArchipelagoGovernment (linguistics)SovereigntyPolitical scienceThe arcticGeographyEnvironmental protectionEconomyArchaeologyLawOceanographyPoliticsEconomics

Abstract

fetched live from OpenAlex

The discovery of a giant oil field in Alaska in 1968 sparked great interest in the United States in the Northwest Passage as a possible route for the delivery of Alaska's oil to the more southern states of the United States. In 1969-1970 American oil companies with the support of the U.S. authorities organized two voyages of the tanker Manhattan across these waters to test the viability of this route. Although Canada supported this project and took part in it, but at the same time the Canadian government of P. Trudeau adopted two new laws, which sharply strengthened Canada's control over shipping in the Northwest Passage. In an effort to prevent an open conflict with the United States, Canada did not declare all the waters of the Arctic Archipelago as its internal waters, but made a choice in favor of the so-called functional sovereignty, that is, the ability to exercise a certain set of rights over a specific territory.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.129
Threshold uncertainty score0.935

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0250.007
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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