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Record W2595352533

A Transatlantic Transfer of Cultural Values: Constructing A Canada-Related Cultural Reader Series for the Secondary English Classroom in Central Europe

2014· article· en· W2595352533 on OpenAlexaboutno aff
Mátyás Bánhegyi, Judit Nagy

Bibliographic record

VenueReview of International American Studies (International American Studies Association) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsForeign languageTarget cultureCultural issuesLinguisticsMedia studiesSociologyPedagogyCultural diversityAnthropologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Mátyás Bánhegyi and Judit Nagy Department of English Linguistics Károli Gáspár University of the Reformed Church in Hungary Faculty of HumanitiesThe ‘Canada in the English Classroom’ joint research team of the University of Colongne and Károli Gáspár University of the Hungarian Reformed Church has been producing a cultural reader series to enhance the dissemination of up-to-date and engaging cultural information on Canada through general English language classes for the secondary school age group in Central Europe. The cultural reader series is seen as a means of facilitating cultural discourse and cross-cultural learning, also advocated in Canadian contexts by Berrell and Gloet (1999). Using Kramsch’s (1991) and Damen’s (2003) theories, the readers have been devised so that more abstract and/or lesser-known Canadian cultural aspects can be brought closer to the target group through English as a foreign language. To realize this objective in an effective way in the English classroom, Gochenour and Janeway’s (1993) model of culture learning has been observed, which advocates the gradual involvement of students in culture-related issues: starting from observation of culture moving towards genuine communication about culture. After introducing the cultural reader series project briefly, the paper will discuss the theoretical background behind the series and the project activities leading up to the preparation and compilation of its completed volumes. As a next step, an overview of the content of these volumes and the accompanying teacher’s notes will be presented. This will be followed by a sample unit demonstration of how the series achieves the goals the research has targeted.

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)0.001
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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.

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
Published2014
Admission routes1
Has abstractyes

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