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Record W7145381595

Die Auswirkungen des Gemeinsamen europäischen Referenzrahmens für Sprachen auf den Deutschunterricht in Japan, untersucht anhand von Lehrbüchern für Deutsch als Fremdsprache

2020· article· de· W7145381595 on OpenAlexaff
Oliver Mayer

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2020
Typearticle
Languagede
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsContext (archaeology)Subject (documents)Period (music)
DOInot available

Abstract

fetched live from OpenAlex

This article looks at the application of the Common European Framework of Reference for Languages (CEFR) for German language education in Japan. The CEFR was adopted by German publishers and institutions soon after its introduction, and within a few years all textbooks published in Germany, all language tests conducted by German and Austrian institutions, and all language courses in German-speaking countries have been redesigned and labelled with the six reference levels of the CEFR. On the other hand, the implementation of the CEFR in Japan has been much slower. The most widely taken German language test in Japan does not yet reflect the CEFR, and only about 5% of all textbooks published in Japan follow the CEFR. This article looks at the background of these developments with a focus on textbooks, and makes a case for the wider adoption of the CEFR for teaching German as a foreign language in Japan.

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)0.018
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.062
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.007
Science and technology studies0.0030.003
Scholarly communication0.0070.006
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.097
GPT teacher head0.340
Teacher spread0.243 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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