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Record W2129830973 · doi:10.2104/aral1018

Investigating the effect of contextual clues on the processing of unfamiliar words in second language listening comprehension

2010· article· en· W2129830973 on OpenAlex
Wei Cai, Benny P. H. Lee

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

VenueAustralian Review of Applied Linguistics · 2010
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComprehensionRecallPsychologyInferenceActive listeningLinguisticsMeaning (existential)Cognitive psychologyListening comprehensionSemantics (computer science)CommunicationComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This study examines the effect of contextual clues on the use of strategies (inferencing and ignoring) and knowledge sources (semantics, morphology, world knowledge, and others) for processing unfamiliar words in listening comprehension. Three types of words were investigated: words with local co-text clues, global co-text clues and extra-textual clues. Data were collected from 20 participants using the procedures of immediate retrospection without recall support and of stimulated recall. The results indicate that contextual clues are an important factor in learners’ treatment of unfamiliar words in listening comprehension. Contrary to what some theories of inference generation predict, this study reveals that learners use the inferencing strategy more frequently for words with global co-text clues and words with extratextual clues than for words with local co-text clues. In terms of the use of knowledge sources for inferring word meaning, the learners in this study use the knowledge sources in accordance with the different types of contextual clues.

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)0.001
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 score0.363
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.335
Teacher spread0.315 · 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