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Record W2146239592 · doi:10.1017/s0958344009990176

The effects of task type in Synchronous Computer-Mediated Communication

2009· article· en· W2146239592 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

VenueReCALL · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsJigsawFocus on formOperationalizationComputer scienceTask (project management)GrammarFocus (optics)Mathematics educationTeaching methodPsychologyLinguistics

Abstract

fetched live from OpenAlex

Abstract This study examines the potential of learner-learner interaction through Synchronous Computer-Mediated Communication (SCMC) to focus learners’ attention on form. Focus on form is operationalized through Language-Related Episodes (LREs), instances where learners turn their attention to formal aspects of language by questioning the accuracy of their own or each other’s language use. The study also compares two task types, jigsaw and dictogloss, with respect to the number and characteristics of LREs. Ten adult intermediate ESL learners from an intensive English language program in the US worked together in dyads to carry out one jigsaw and one dictogloss task in an SCMC environment. Tasks were controlled for content and were presented in two alternative orders. The dictogloss in this study generated more LREs than the jigsaw. LREs were also qualitatively different across task types. Jigsaw LREs were implicit and did not result in incorrectly solved outcomes, whereas dictogloss LREs were explicit and resulted in correctly solved, incorrectly solved, and unresolved outcomes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.132

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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