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Record W243234111

Iazyk Russkogo Zarubezh'ia: Obshchie Protsessy I Rechevye Portrety

2003· article· en· W243234111 on OpenAlexvenueno aff
Joan F. Chevalier

Bibliographic record

VenueCanadian Slavonic Papers · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistic research and analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationDiasporaLinguisticsAttritionHistorySociologyGender studiesPhilosophyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

E.A. Zemskaia ed., Iazyk russkogo zarubezh'ia: Obshchie protsessy i rechevye portrety. Moskva-Wien: RAN: Institut russkogo iazyka im V.V. Vinogradova, Iazyki Slavianskoi kul'tury/Wiener Slawistischer Almanach (Sonderband 53), 2001, 492 pp. cloth.Elena Zemskaia makes a major contribution to the growing body of research on the fate of the Russian language in emigration with her latest book. Those who are familiar with Zemskaia's work will not be surprised to learn that her most recent offering features keen observational analysis and a wealth of invaluable linguistic data. This current work edited by Zemskaia, containing sections by M.A. Glovinskaia and M.A. Bobrik, examines the language of Russian emigres in five countries, Italy, Germany, USA, France, and Finland, across four waves of emigration.Language can be defined a number of different ways. In studies of language in emigration it is often used as a generic term for language attrition exhibited both by individuals over time and for intergenerational loss, language shift or loss exhibited by successive generations of emigres. Zemskaia looks at both types of loss, but she is also interested in the success stories. Her stated aim is to uncover forces at work in the spoken and written language of the Russian diaspora with a specific emphasis on factors fostering language preservation.Zemskaia presents a wealth of detail about language attrition and preservation, much of it in the form of samples from interviews and written material which were the basis of the study. The book features lengthy samples of transcripts and excerpts from correspondence and family archives. Several chapters provide examples and analysis of the language of successive members of the same family. These samples would be useful to anyone interested in the Russian diaspora, including those more interested in sociological aspects of emigration.Zemskaia avoids some potential pitfalls of language attrition studies. She stresses in her introduction that she limited her sample pool to Russian speakers and their offspring originally from the Russian Federation. She criticizes studies of loss that draw data from emigres from the non-Russian former republics of the Soviet Union, as many of them were never fully proficient native speakers of Russian. Thus Zemskaia avoids the trap of evaluating those who never fully acquired Russian as exhibiting loss. Another complex aspect of diaspora studies is distinguishing language attrition, loss of language, from language shift, the increasing interference of the lingua franca of the country of residence. Zemskaia's analysis of language is methodical and systematic in this regard, separating out evidence of language shift.Zemskaia begins her discussion by defining four waves of emigration. The first wave occurred after the 1917 revolution; the Second World War motivated wave two; the third wave occurred in the 1970s; the fourth wave took place at the end of the 1980s. She continues with a brief overview of the linguistic features of the speech of each wave. …

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0220.001

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 head0.032
GPT teacher head0.251
Teacher spread0.218 · 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
GenreOther

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

Citations1
Published2003
Admission routes1
Has abstractyes

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