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Cultural Transmission in English Teaching

2010· article· en· W1764635142 on OpenAlexvenueno aff
Wenjuan Yuan

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesLinguisticsNoticeStress (linguistics)GrammarCultural transmission in animalsRelation (database)SociologyPhilosophyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Vocabulary and grammar are used to be considered important to English learning, but nowadays people pay an increasing emphasis on the relationship between language and culture. Culture has a vital impact on English learning, and teachers should notice the cultural difference and transmit such knowledge through the teaching practice. Key Words: culture,language,learning Resume Le vocabulaire et la grammaire sont consideres d’habitude tres important pour l’apprentissage de l’anglais, mais aujourd’hui, les gens commencent a mettre l’accent sur la relation entre le langage et la culture. La culture a un impact vital sur l’apprentissage d’anglais et les enseignants doivent remarquer les differences culturelles et transmettent ces connaissances par l’enseignement dans la pratique. Mots-cles : apprentissage de culture et de langue 摘 要 人們一般認為掌握好辭彙和語法是英語學習的重之所重,但如今,人們卻越來越多地把注意力集中在文化與語言的關係上。文化在學習外語的過程中顯示出了重要性,教師們應當意識到這一點並將運用於自 己的教學實踐中。 關鍵詞:文化;語言;學習

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.329
Teacher spread0.297 · 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 designNot applicable
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

Citations1
Published2010
Admission routes1
Has abstractyes

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