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Record W6931569374 · doi:10.5281/zenodo.8176707

UKRAINIAN-CANADIAN PARLIAMENTARY DIPLOMACY: NAVIGATING THE CHALLENGES OF THE ONGOING WAR WITH RUSSIA

2023· article· en· W6931569374 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldMathematics
TopicStatistical Methods and Bayesian Inference
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentUkrainianPoliticsDemocracySovereigntyAccountabilityConvention

Abstract

fetched live from OpenAlex

This article examines the importance of Ukrainian-Canadian parliamentary cooperation during the ongoing war in Ukraine with Russia, focusing on the challenges faced and the role of Canadian Parliament in addressing the situation. The implementation of the "Parliament and Accountability of the Security Sector in Ukraine" (PASS Ukraine) project has fostered closer ties between Canadian and Ukrainian Members of Parliament (MPs) and facilitated communication channels. Furthermore, the article highlights the significance of the Ukrainian topic in Canadian Parliament speeches. It notes that Ukraine has been a recurring subject of discussion, particularly during critical moments in Ukraine's history, such as the Russian invasion in 2014 and the ongoing war. Canadian MPs have expressed their support for Ukraine, condemned Russian aggression, and advocated for measures to protect Ukraine's sovereignty and assist in its recovery. The article underscores the breadth of topics related to Ukraine that have been addressed in Canadian Parliament speeches. These topics include humanitarian assistance, economic support, political reforms, and the promotion of democracy in Ukraine. The active engagement of Ukrainian Canadians in advocating for Ukrainian issues has further contributed to the prominence of the Ukrainian topic in parliamentary discussions. The article suggests referring to official records, transcripts, and speeches available through the official website of the Canadian Parliament for a comprehensive understanding of the discussions and importance of the Ukrainian topic in Canadian parliamentary debates. It concludes by emphasizing the ongoing attention given to Ukraine within the Canadian Parliament and the commitment of Canadian MPs to supporting Ukraine's stability, democracy, and territorial integrity.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.094
Threshold uncertainty score0.681

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0360.007
Scholarly communication0.0120.002
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.085
GPT teacher head0.322
Teacher spread0.237 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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