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Record W2917857350 · doi:10.1075/lllt.52.06nas

The effects of recasts versus prompts on immediate uptake and learning of a complex target structure

2019· book-chapter· en· W2917857350 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

VenueLanguage learning and language teaching · 2019
Typebook-chapter
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPsychologyCorrective feedbackComputer sciencePsychotherapist

Abstract

fetched live from OpenAlex

Abstract This study compared the effects of recasts and prompts on learning a complex target structure (English relative clauses). It also examined how these effects were mediated by learners’ level of language proficiency. Fifty-four high- and low-proficiency ESL learners were assigned to three groups: recast ( n = 18), prompt ( n = 18), and control ( n = 18). Both uptake and pretest-posttest measures were used to assess feedback effectiveness. Each learner met with a native-speaker interlocutor outside the classroom four times over a four-week period for the pretest, treatment, and immediate and delayed posttests. Picture-cued oral production tasks were developed and used to elicit the use of relative clauses. The findings revealed an advantage for recasts over prompts, and also showed that the two feedback types varied in their effects on uptake versus learning and also interacted differently with learners’ levels of language proficiency. Although the study was conducted outside the classroom, the pedagogical relevance will be discussed.

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
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 head0.010
GPT teacher head0.285
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