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Record W2792945216 · doi:10.21226/ewjus373

Studying the Blueprint for a Nation: Canadian Historiography of Modern Ukraine

2018· article· en· W2792945216 on OpenAlexaffvenueabout
Serhy Yekelchyk

Bibliographic record

VenueEast/West Journal of Ukrainian Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsUkrainianHistoriographyScholarshipIntelligentsiaBlueprintPolitical scienceColonialismSociologySocial scienceHistoryPoliticsLawArt

Abstract

fetched live from OpenAlex

This article discusses the development of a Canadian historiography of modern Ukraine. It argues that the early focus on Ukrainian nation building determined the range of topics that interested Canadian historians, but over the following years their methodology changed significantly. The development of social history provided indispensable tools for in-depth analysis of the Ukrainian national movement. The subsequent development of a new cultural history, post-colonial studies, and the “linguistic turn” allowed for a more subtle analysis of the Ukrainian patriotic discourse and practice. New scholarship focusing on the ambiguities of imperial projects and the everyday life allowed for a re-evaluation of the traditional emphasis on the national intelligentsia’s organic work. Because of its focus on the making of a modern Ukrainian nation, beginning in the 1990s Canadian historiography was well positioned to assist in the transformation of Ukrainian historical scholarship from Soviet models to new theoretical and methodological foundations. This often meant helping Ukrainian colleagues to revise the very “national paradigm” of history writing that early Canadian historians had helped develop. In the decades after an independent Ukraine emerged in 1991, the study of Ukrainian nation building became an increasingly global and collaborative enterprise, with historians from Ukraine studying and working in Canada, and with conferences on topics related to modern Ukrainian history involving scholars from around the world.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
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 head0.087
GPT teacher head0.309
Teacher spread0.223 · 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.

Study designNot applicable
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
Published2018
Admission routes3
Has abstractyes

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