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Record W1593086113 · doi:10.1080/00905990500053960

Nation Building, History Writing and Competition over the Legacy of Kyiv Rus in Ukraine

2005· article· en· W1593086113 on OpenAlexaff
Taras Kuzio

Bibliographic record

VenueNationalities Papers · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUkrainianSlavic languagesMythologyCompetition (biology)Political scienceState (computer science)Identity (music)RealmHistoriographyRussian historyEconomic historyHistoryLawClassicsArt

Abstract

fetched live from OpenAlex

This article surveys the history of Kyiv Rus within the realm of nation building, identity and historical myths. It argues that Ukraine's elites believe that Western, Russian and Soviet schools of history on Kyiv Rus (and Ukraine) are incompatible with nation and state building. Two schools—Ukrainophile and East Slavic—compete within Ukraine. Nevertheless, the former has been promoted as the dominant school by ruling elites, many of whom date from the Soviet Ukrainian SSR and might personally favour the East Slavic framework. As Stepanenko states, Hrushevsky “is factually theorizing the most convincing version of Ukrainian history.”

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)0.002
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 score0.018
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.006
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.278
Teacher spread0.255 · 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

Citations31
Published2005
Admission routes1
Has abstractyes

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