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Record W6903403573 · doi:10.11575/prism/25876

Emergent Arctic, Divergent Approaches: The impact of federal organizations on Canada's pursuit of sovereignty over its Arctic waters

2012· other· en· W6903403573 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2012
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaGestational periodTubulopathyDiafiltrationArticular cartilage damage

Abstract

fetched live from OpenAlex

Climate change has reduced the width and breadth of sea ice in the waters of the Canadian Arctic, rendering the region more accessible to southern interests, particularly shipping, than at any time in its history. The realities of an emergent Arctic have rekindled old fears regarding the nature and extent of Canadian sovereignty over the waters of its Arctic Archipelago. These fears are related to the historically and legally contested nature of Canadian claims. While the Canadian government is asserting its sovereignty in the Arctic region, the federal organizations that are the instruments of sovereignty assertion are both impacting the manner in which Canada’s Arctic foreign policy is conducted and affecting Canada’s sovereignty claims. This paper investigates said organizational effects through interviews conducted with high ranking members, current and retired, of the Royal Canadian Navy, The Canadian Coast Guard, Transport Canada and the Department of Foreign Affairs and International Trade.

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)0.005
metaresearch head score (Gemma)0.011
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: Other · Consensus signal: none
Teacher disagreement score0.121
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0390.016
Scholarly communication0.0080.002
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.205
Teacher spread0.185 · 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
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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