MétaCan
Menu
Back to cohort
Record W7015493013

State building in the middle of a geopolitical struggle: The cases of Ukraine, Moldova and Transnistria.

2016· article· en· W7015493013 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Theses and Dissertations Repository (University of Pisa) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsSovereigntyState (computer science)PoliticsSovereign stateUkrainianInternational relationsQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

This research intends to know if it is possible for Ukraine, Moldova and Pridnestrovia to build a sovereign state in the current global context, while in the middle of a geopolitical struggle. For the theoretical part, it considers Schmitt notions of sovereignty and portrays some of the main geopolitical schools of thought in the US and Russia to understand each of the dominant geopolitical projects in the area. It analyses the state of the relation between Russia and the West (including the US, the EU and its members) from a geopolitical perspective and the way it has influenced the political events in the area. Afterwards, it examines the historical and political developments mostly from the fall of the Soviet Union until the first quarter of 2016. This investigation also took into account the complex multi-ethnic and multilingual tissue in the area and the development of diverse electoral processes in the region. It underlined the role played by the Ukrainian oligarchs in the local political life and the effects it has brought in the same state-building process. It gives special attention to the events surrounding the Ukrainian crisis in 2013-14. To conclude, it intends to glimpse, in which direction are evolving each of the studied polities and if they could eventually develop into sovereign states or instead they risk of becoming failed states.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.253
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueElectronic Theses and Dissertations Repository (University of Pisa)Same topicPost-Soviet Geopolitical DynamicsFrench-language works237,207