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Record W2982136802 · doi:10.21226/ewjus527

Emergent Stateness: Critical Urban Geopolitics in Slavutych

2019· article· en· W2982136802 on OpenAlexvenueno aff
Nathaniel Ray Pickett

Bibliographic record

VenueEast/West Journal of Ukrainian Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsPolitical sciencePoliticsMultinational corporationEconomic powerGovernment (linguistics)Economic growthEconomyDevelopment economicsPolitical economySociologyEconomicsLaw

Abstract

fetched live from OpenAlex

The city of Slavutych was built specifically to house the workers who would continue to work post-disaster at the Chornobyl Nuclear Power Plant (ChNPP) and their families. It was the pinnacle of Soviet planned cities, the culmination of decades of lessons learned from similar projects, and the architectural embodiment of Soviet multinationalism. However, in spite of all the excitement the new city elicited, within just a few years the now-independent Ukrainian government, under pressure from international organizations like the International Atomic Energy Association and the United Nations, established a hard expiration date for the shutdown of all ChNPP reactors, which in turn would mean economic devastation for Slavutych and render its existence wholly unnecessary. Rather than wait for the inevitable, city leaders and residents leveraged global and national interest in the Chornobyl disaster and its aftermath, drawing investments from multinational corporations, international organizations, and states to keep the city alive. Their scattergun approach to economic diversification and pre-emptive urban revitalization paid off, as Slavutych thrived even as the rest of Ukraine suffered major economic and demographic crises. This paper examines how Slavutych citizens were able to forge, and then to act upon, geopolitical relationships to mitigate the lingering social, political, and economic effects of the Chornobyl disaster in the city.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.069
GPT teacher head0.392
Teacher spread0.323 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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