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Record W2045703908 · doi:10.1080/00905992.2011.585147

Putting Ukraine on the map: the contribution of Stepan Rudnyts'kyi to Ukrainian nation-building

2011· article· en· W2045703908 on OpenAlexaff
Ihor Stebelsky

Bibliographic record

VenueNationalities Papers · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsUkrainianIndependence (probability theory)Context (archaeology)Nation-buildingDeclaration of independenceDeclarationPolitical scienceHistoryLawPoliticsArchaeology

Abstract

fetched live from OpenAlex

This paper examines the contribution of the founder of modern Ukrainian geography, Stepan Rudnyts'kyi, to Ukrainian nation-building. It demonstrates how Rudnyts'kyi put Ukraine on the mental map of the Ukrainian public before the declaration of Ukraine's independence in 1918. This is done by analyzing his key publications and showing how he formed a vision of Ukraine and delineated its territory to influence the perceptions of the Ukrainian public on the eve of the struggle for Ukraine's independence. Rudnyts'kyi's contribution is also viewed within the context of competition from rival modern nation-building projects in Eastern Europe, most notably Polish and Russian. The developments are also examined within Miroslav Hroch's periodization of national movements. Rudnyts'kyi played an important role in stage B (patriotic agitation) in Ukrainian national revival.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0040.002
Open science0.0000.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.264
Teacher spread0.214 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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