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Record W2016569507 · doi:10.1080/09658410802146651

Perception of Learner Proficiency: Its Impact on the Interaction Between an ESL Learner and Her Higher and Lower Proficiency Partners

2008· article· en· W2016569507 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 Awareness · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLanguage proficiencyPsychologyPerceptionMetalinguisticsRecallTask (project management)Affect (linguistics)Second languageCognitive psychologyMathematics educationTeaching methodLinguisticsCommunicationVocabulary development

Abstract

fetched live from OpenAlex

In this article, we explore one aspect of language awareness that has rarely been explored—awareness (i.e. perception) of the language proficiency of the ‘other learner’ in pair work settings. We examine how Mai, a Japanese ESL learner, perceives her peer's L2 proficiency during pair problem solving, and how her perception of learner proficiency affects the nature of peer assistance. Mai engaged in a three-stage task involving pair writing, pair noticing and individual writing with two learners whose L2 proficiency level is either higher or lower than her own. She also provided stimulated recall and was interviewed after all the tasks were completed. The findings suggest that measured proficiency difference does not necessarily affect the nature of peer assistance. Rather, how each learner perceives each other's proficiency difference, and how they interact with their peer based on the perceived proficiency level may be more significant.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score1.000

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)0.0010.000

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 head0.069
GPT teacher head0.350
Teacher spread0.280 · 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