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Record W2151698659 · doi:10.5539/ies.v7n12p37

Language Competence in a Puzzle of Modern Russian Vocational Education

2014· article· en· W2151698659 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Education Studies · 2014
Typearticle
Languageen
FieldComputer Science
TopicInnovations in Education and Learning Technologies
Canadian institutionsnot available
FundersMinistry of Education and Science of the Russian Federation
KeywordsForeign languageVocational educationCompetence (human resources)Professional developmentPedagogyCommunicative competenceProfessional communicationProfessional studiesPsychologyPublic relationsPolitical scienceComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

The article shows that foreign language skills influence the professional success in a globalized economy. Training experts who are able to use foreign languages at the level required for professional communications is highly urgent for today’s Russia, however there is hardly any experience of training such experts in accordance with international standards in most Russian universities. In this regard the authors propose to change the structure of professional education and criteria of assessing the professional competence of an expert. A competence in using a foreign language as a tool for interaction with partners and solving professional problems should become an integral part of the content of vocational education. A foreign language should be mastered as a tool of solving professional tasks, while language training should be organized on the basis of modeling key professional communicative situations. Besides, unwillingness to communicate professionally with foreign partners must be considered as manifestation of professional incompetence of a specialist. The authors point out that such model of professional training with a foreign language included in its structure is the most important for countries seeking integration into the world economy.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.373
Teacher spread0.346 · 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