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Record W4236456962 · doi:10.31235/osf.io/rzdf7

Between Physicality and Symbolism: Kyiv as a Contested Territory in Russian and Ukrainian Émigré Letters, 1920–1939

2019· preprint· en· W4236456962 on OpenAlexaff
Mykola Soroka

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsECW Press (Canada)
Fundersnot available
KeywordsUkrainianÉmigréHomelandLegitimacyIdentity (music)National identityHistoryPoliticsSociologyPolitical scienceAestheticsLawArt

Abstract

fetched live from OpenAlex

The paper deals with visions of Kyiv in the writings of Russian and Ukrainian émigré writers during the interwar period. The city became a focal point of intensive intellectual debate whose participants regarded Kyiv not only as a place of a recent battleground but also as a sacral place and a highly symbolic image. Within the methodological framework of ethnic symbolism, this study attempts to explain how this physical/symbolic dichotomy was used to reinforce continuing claims for historical origin and cultural heritage, thus serving the contemporary purpose of national identity and political legitimacy. It also deploys the concept of displacement as a complex process of negotiation between homeland and hostland within an émigré community — whose sense of loss and identity crisis creates additional impetus, though in different forms, for exploiting historical narratives. SOROKA, Mykola Iv.. Between Physicality and Symbolism: Kyiv as a Contested Territory in Russian and Ukrainian Émigré Letters, 1920–1939. Kyiv-Mohyla Humanities Journal, n. 5, p. 143-159, 2018. ISSN 2313-4895. Available at: . doi:http://dx.doi.org/10.18523/kmhj150394.2018-5.143-159.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.031
GPT teacher head0.302
Teacher spread0.270 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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