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Record W4225262939 · doi:10.1590/1984-6398202218487

Do Flow, Enjoyment and Anxiety emerge equally in English Foreign Language Classrooms as in other Foreign Language Classrooms?

2022· article· en· W4225262939 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Brasileira de Lingüística Aplicada · 2022
Typearticle
Languageen
FieldPsychology
TopicGrit, Self-Efficacy, and Motivation
Canadian institutionsCape Breton University
Fundersnot available
KeywordsPrestigeForeign languageAnxietyPsychologyClass (philosophy)Foreign language anxietyState (computer science)LinguisticsMathematics educationMathematicsComputer science

Abstract

fetched live from OpenAlex

ABSTRACT The present study focused on differences in intensity of Foreign Language Enjoyment (FLE), Foreign Language Classroom Anxiety (FLCA), and proportion of time in a state of flow among 761 English FL learners and 825 FL learners of Languages Other Than English (LOTE). Participants in the LOTE group reported significantly higher levels of FLE and a higher proportion of class time in a state of flow, as well as lower levels of FLCA than the EFL group - although the effect size was very small. This suggests that the global status and prestige of English does not mean that learners around the world enjoy the classes more, spend more time in a state of flow or experience less anxiety. The relationships between FLE, FLCA and proportion of class time in a state of flow were also found to be higher in the LOTE group, suggesting stronger emotional involvement.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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