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Record W7132965376

Two Japanese language tourists' ESL experience of the functions of the comprehensible output hypothesis: the potential for learning through speaking

2008· dissertation· W7132965376 on OpenAlexaboutno aff
Paul Quinn

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsClass (philosophy)Japanese languageSecond-language acquisitionProduction (economics)Spoken languageLanguage acquisitionFunction (biology)Comprehension approach
DOInot available

Abstract

fetched live from OpenAlex

The spoken output of adult Japanese students in private Canadian ESL schools is under-researched. These 'language tourists' believe they can improve their English through spoken output despite literature suggesting they are inhibited about speaking. Swain (1985, 1995, 2005) claims language learning can occur through pushed output featuring noticing, hypothesis testing, and metalinguistic reflection. Krashen (1994, 1998, 2003) argues pushed output is anxiety-inducing and infrequent. This case study investigates two Japanese of different gender, proficiency, and class type. Observations of classes and social events, stimulated recalls, learner diaries, and semi-structured interviews provided quantitative and qualitative descriptions of the extent to which they produced spoken output; how that production varied by individual, learning context, activity type, and form and function of language; and what the participants' affective reactions were to the experience. Participants produced at a higher rate out of school than in, and experienced oral production anxiety as worthwhile

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)0.001
metaresearch head score (Gemma)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.339
Teacher spread0.275 · 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
Published2008
Admission routes1
Has abstractyes

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