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Record W6989948630

Comparing Canada’s role on the United Nations Security Council and the Arctic Council: finding several roles

2023· dissertation· en· W6989948630 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVetoMandateArcticSecurity councilMiddle powerThe arcticVotingOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

The main objective of this thesis is to compare Canada’s role on the United Nations Security Council (UNSC) and on the Artic Council in order to critically examine the “middle power” theory – the idea that Canada, as a western ally, has influence in the world to play the role of the “helpful fixer”. The UNSC and Arctic Council are chosen as they include all of the great powers in both organizations, but Canada serves different roles on both. On the UNSC, Canada is a non-permanent (some prefer elected) member for a two-year term with a vote, but not a deciding one like the veto given to the five Permanent Members (P5) whereas Canada is a lead decision-maker as an Arctic state with a veto on the Arctic Council. Ultimately, this thesis seeks to answer the question does Canada’s role change when it is a member of an international organization in which it has the same decision-making powers as at least some of the P5 members? By comparing these two organizations, this thesis seeks to determine if Canada plays a placeholder, bridge-builder, or lead role thus providing evidence to the ongoing and contentious middle power debate. This thesis found that Canada does not always play the role of a middle power because it has different roles on the UNSC and the Arctic Council. Canada is best described as a middle power on the UNSC but a leader on the Arctic Council. Canada’s behaviour and role changes based on the organization’s mandate and the voting parity Canada has with great powers.

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)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.969

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0230.011
Scholarly communication0.0130.003
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.057
GPT teacher head0.242
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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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