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CANADA AND THE UKRAINIAN CRISIS

2018· article· en· W2911197190 on OpenAlex
Dmitry Volodin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Economy and International Relations · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianSanctionsPolitical scienceSolidarityReferendumPoliticsContext (archaeology)DiasporaPolitical economyEconomic historyLawGeographySociologyHistory

Abstract

fetched live from OpenAlex

Canada‘s attitude to the events in Ukraine in 2013–2018 is determined by two factors: general solidarity with western countries and the presence of a large Ukrainian diaspora there. Initially (November 2013 – February 2014), Canada viewed the Ukrainian crisis as an internal political one. However, after the entry of Crimea into Russia, Ottawa began to consider the crisis as international, as a confrontation between Russia and the West. It began to impose the first sanctions against Russia after the Crimean referendum. Primarily, these sanctions were rather limited, but after the beginning of full-scale hostilities in the east of Ukraine in the summer-autumn of 2014, Canada began to introduce sectoral sanctions. Ottawa‘s active participation in various programs of military assistance to Kiev reflects not only solidarity with other member countries of NATO. The Ukrainian diaspora represented by its chief lobby – the Ukrainian Canadian Congress – forces the Canadian government to act more actively in Ukraine, including the military sphere. Military assistance to Kiev is in the context of Ottawa‘s support of Ukraine’s membership in NATO. On the other hand, it is often necessary to separate the real Canadian aid to Ukraine from the “grandstanding”. For example, the discussion in Canada about participation in a possible UN peacekeeping operation in Ukraine was initiated by the Conservative Party primarily as an opportunity to weaken their political opponents – the ruling Liberal Party in the run-up to the parliamentary elections of 2019. The conservatives‘ proposal for a UN peacekeeping operation contained elements that made it impossible for Russia to accept this proposal. Canadian military assistance to Ukraine is becoming more and more significant and diverse. Ottawa is ready to supply lethal weapons to Kiev. In spite of it, Canada reluctantly agreed to deploy its troops in Latvia. Ottawa took this step not because of the NATO’s request, but under U.S. pressure. 

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.210
Teacher spread0.193 · 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