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Record W4307166549 · doi:10.25726/r3101-3673-5033-g

Control of the level of the development of foreign language competence of students of higher educational institutions

2022· article· ru· W4307166549 on OpenAlexaboutno aff
М.А. Арская

Bibliographic record

VenueManagement of Education · 2022
Typearticle
Languageru
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsForeign languageMinistry of Foreign AffairsTerminologyVocabularyCompetence (human resources)Political scienceHigher educationGrammarPhilologyLanguage educationPedagogySociologyLinguisticsPsychologyPublic administrationLaw

Abstract

fetched live from OpenAlex

Языковое образование на уровне государственных документов признано одним из главных составляющих высшего образования. Над разработкой концепции и стратегии языковой политики в Европе работали коллективы ученых из Канады, США и различных европейских стран-членов Совета по культурному сотрудничеству. Интеграция России в европейские и международные организации обуславливает необходимость качественной иноязычной подготовки курсантов вузов системы МВД. Основы новой языковой политики в России освещены в работах коллектива лингвистов, в которых определены современные подходы к преподаванию иностранных языков в русле Общеевропейских Рекомендаций Совета Европы. В исследованиях отечественных и зарубежных ученых выделен ряд противоречий, объективно существующих в практике обучения иностранным языкам в высших учебных заведениях. К ним относятся: традиционное изучение грамматики, лексики, обучение переводу на занятиях по иностранному языку и необходимость формирования практических навыков иноязычного общения с учетом фоновых знаний о стране и языке и знаний профессиональной терминологии; отсутствие системной связи между профессиональной и иноязычной подготовкой курсантов нефилологических специальностей в высших учебных заведениях; несогласованность требований Министерства образования и науки России с рекомендациями Совета Европы. Language education at the level of state documents is recognized as one of the main components of higher education. Teams of scientists from Canada, the USA and various European countries -members of the Council for Cultural Cooperation - worked on the development of the concept and strategy of language policy in Europe. Russia's integration into European and international organizations necessitates high-quality foreign language training of graduates of the Ministry of Internal Affairs system. The foundations of the new language policy in Russia are highlighted in the works of a team of linguists, which define modern approaches to teaching foreign languages in line with the Pan-European Recommendations of the Council of Europe. In the studies of domestic and foreign scientists, a number of contradictions have been identified that objectively exist in the practice of teaching foreign languages in higher educational institutions. These include: the traditional study of grammar, vocabulary, translation training in foreign language classes and the need to develop practical skills of foreign language communication, taking into account background knowledge of the country and language and knowledge of professional terminology; the lack of a systematic link between the professional and foreign language training of students of non-philological specialties in higher education institutions; inconsistency of the requirements of the Ministry of Education and Science of Russia with the recommendations of the Council of Europe.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.064
GPT teacher head0.313
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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