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Record W2884198204 · doi:10.1075/tblt.10.05rea

Task modality effects on Spanish learners’ interlanguage pragmatic development

2018· book-chapter· en· W2884198204 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

VenueTask-based language teaching · 2018
Typebook-chapter
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsInterlanguageLinguisticsPsychologyModality (human–computer interaction)Task (project management)Computer scienceCognitive psychologyArtificial intelligenceEngineeringPhilosophy

Abstract

fetched live from OpenAlex

Abstract Within the field of second language acquisition (SLA), we have witnessed a rise in research on task-based language teaching (TBLT) and its effects on L2 development ( Kim, 2015 ). However, few studies have examined how TBLT could facilitate the development of interlanguage pragmatics ( Taguchi & Kim, 2015 ), an issue which this volume aims to address. Moreover, whether task modality (i.e., oral versus written tasks) mediates development has yet to be investigated. The current study with learners of Spanish focused on the effects of using pedagogical tasks and on the manipulation of task modality on learners’ L2 pragmatic competence through the production of Spanish requests and speech act modifications. Two intermediate classes ( n = 25) of Spanish completed either an oral or written story completion task. Drawing on oral and written Discourse Completion Tests, we found that tasks positively impacted learners’ production of L2 requests. However, significant differences between modality groupings were not identified.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0050.003

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 head0.016
GPT teacher head0.245
Teacher spread0.229 · 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