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Między Wschodem a Zachodem (pisarze czwartej fali emigracji rosyjskiej)

2023· article· en· W4390345611 on OpenAlexaboutno aff
Katarzyna Duda

Bibliographic record

VenuePrace Komisji Kultury Słowian/Kultura Słowian · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPolish-Jewish Holocaust Memory Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationHomelandRefugeeIdentity (music)MemoirPhenomenonRelation (database)Gender studiesPolitical scienceMulticulturalismHistorySociologyGeographyGenealogyAestheticsPoliticsArtLaw

Abstract

fetched live from OpenAlex

Between the East and the West (Writers of the Fourth Wave of Russian Emigration) This article attempts to define the phenomenon of the fourth wave of Russian emigration in relation to writers leaving their homeland after the symbolic collapse of the USSR, or who are descendants of representatives of the third wave. The characteristics of contemporary emigration that differ from previous waves of refugees and the reasons for leaving their homeland are indicated here. The destinations of emigrants (USA, Canada, Switzerland, Israel) that shape the specifics of the mental landscape of the newcomers, the barriers, the borders that they have to overcome in order to establish good relations with the citizens of their host countries are also included. Indeed, the aim of multiculturalism is not to tear down walls, but to build bridges. In this respect, dialogue and the associated language as a fundamental distinctive feature of culture that determines the identity of each person is of paramount importance. The current of post-memory, autobiographical and memoir literature, promoted by many emigrants, is linked to identity and its recovery. As far as young emigrants are concerned, they have to live in a global village, in a specific uniformity introduced by the 21st century, which makes mobility one of the most important values.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.014

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 head0.073
GPT teacher head0.264
Teacher spread0.192 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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