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Record W2037157419 · doi:10.3138/cmlr.60.5.587

Investigating the Effects of Oral Output on the Learning of Relative Clauses in English: Issues in the Psycholinguistic Requirements for Effective Output Tasks

2004· article· en· W2037157419 on OpenAlexvenueno aff
Yukiko Izumi, Shin-ichi Izumi

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsTask (project management)Test (biology)ComprehensionMeaning (existential)Production (economics)Group (periodic table)Computer sciencePsychologyLearning effectCognitive psychologyLinguisticsEngineering

Abstract

fetched live from OpenAlex

This study investigated whether giving learners an opportunity for oral output has any positive effect on the L2 learners' acquisition of a grammatical form. Twenty-four adult ESL learners were randomly assigned to one of three groups: an output group, which engaged in a picture description task that involved input comprehension and output production; a non-output group, which engaged in a picture sequencing task that required input comprehension only; and a placebo control group. The two treatment groups were exposed to the same aural input for the same amount of time. Learning was assessed by means of a pre-test and a post-test consisting of production and reception parts. The results indicated that, contrary to our expectations, the output group failed to outperform the non-output group. On the contrary, it was the non-output group that showed greater overall gains in learning. A careful post-hoc re-examination of the treatment tasks revealed that the output task failed to engage learners in the syntactic processing that is necessary to trigger L2 learning, while the task for the non-output group appeared to promote better form-meaning mapping.

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)0.002
metaresearch head score (Gemma)0.014
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 score0.472
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.286
Teacher spread0.249 · 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

Citations40
Published2004
Admission routes1
Has abstractyes

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