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Record W2929846272 · doi:10.17759/langt.2019060113

Methodological problems of prevention and overcoming of interference in the conditions of formation of the Russian-Crimean-Tatar-English trilingualism

2019· article· en· W2929846272 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguage and Text · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage, Communication, and Linguistic Studies
Canadian institutionsEarl Haig Secondary School
Fundersnot available
KeywordsTatarLinguisticsInterference (communication)Russian languageAnalogyInterpretation (philosophy)Assimilation (phonology)Foreign languageComputer sciencePolitical scienceTelecommunicationsPhilosophy

Abstract

fetched live from OpenAlex

The article considers the problem of interference in the conditions of formation of educational Russian-Crimean-Tatar-English trilingualism. A wide and narrow interpretation of the term «interference», «types of interference» is given. Methodological instruments preventing the negative impact on the assimilation of a foreign language depends on the nature of interaction between the systems of native, academic (Russian) and English languages. The sounds of the far and near group, on which the types of interference depend, are considered. In conclusion, it is pointed out the need to distinguish between interference and analogy, as well as the prospects of developing a classification of correspondence between the stages of mastering a foreign language.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.134
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.085
GPT teacher head0.381
Teacher spread0.296 · 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