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Record W4366808658 · doi:10.23977/aetp.2023.070212

A Study on Classroom Shame of Japanese Learners among University Students in China

2023· article· en· W4366808658 on OpenAlexvenueno aff
Zhong Jingjing

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsShameWillingness to communicatePsychologySocial psychologyIntercultural competenceAnxietyPerceptionSelf-esteemLanguage acquisitionCompetence (human resources)Foreign languagePedagogyMathematics education

Abstract

fetched live from OpenAlex

In the field of second language (L2) research, there is a growing recognition of the vital need to explore the diversity of emotional experiences of learning. This paper explores the problem of foreign language classroom shame (FLCS) in Japanese classes among university students in China. This study investigated China students’ perspectives on L2 shame in learning Japanese. Studies have shown that shame not only affects learners' linguistic confidence, but also affects their sense of identity, self-worth and self-esteem. The data suggest that FLCS may lead learners to engage in certain negative behaviors, such as avoiding interaction and speaking activities, ruminating over failure, giving up learning L2, and to have persistent L2-related anxiety due to fear of shame in the future. This paper argues that the study of this phenomenon in the process of language learning can provide a more comprehensive grasp of the psychology of language learners, and help learners develop a more positive self-perception, promote their willingness to participate in communication activities, and ultimately may bring their language competence to an improved level of proficiency.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.030
GPT teacher head0.378
Teacher spread0.348 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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