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Record W2356174159

The enlightenment and the impetus of the new approach of the Common European Framework of Reference for Language on the Chinese language teaching

2008· article· en· W2356174159 on OpenAlexaboutno aff
L Zhang

Bibliographic record

VenueShijie hanyu jiaoxue · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsLanguage industryLanguage educationEuropean unionOfficial languageLanguage policyEnlightenmentPolitical scienceLanguage assessmentComprehension approachPedagogyLinguisticsComputer scienceSociologyLawBusiness
DOInot available

Abstract

fetched live from OpenAlex

The Common European Framework of Reference for Language (CEFRL) is developed through a process of several decades of scientific research and wide consultation, under the authority of the Council of Europe. It is the result of extensive research and ongoing work on communicative objectives, as exemplified by the popular Threshold level concept. This document provides a practical tool for setting clear standards to be attained at successive stages of learning and for evaluating outcomes in an internationally comparable manner. A European Union Council Resolution (November 2001) recommended the use of this Council of Europe instrument in setting up systems of validation of language competences. The influence of the CEFR in the fields of course design, textbook writing, language teaching, testing and training is wider and wider among the 47 member countries of the Council of Europe and the observer countries, as USA, Canada and Japan. The Chinese language teaching in France is growing fast, and some good results have been obtained in the field of compatibility between Chinese language and CEFRL. Facing the new epoch of education of promoting both language policy and language standards on the basis of the communicative approach, international Chinese language teaching cannot stay on the edge of the road and have to take up these new challenges.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.242
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2008
Admission routes1
Has abstractyes

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