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Record W2111297065 · doi:10.1017/s0272263101003035

WILLINGNESS TO COMMUNICATE, SOCIAL SUPPORT, ANDLANGUAGE-LEARNING ORIENTATIONS OF IMMERSION STUDENTS

2001· article· en· W2111297065 on OpenAlexaff
Peter D. MacIntyre, Susan Baker, Richard Clément, Sarah Conrod

Bibliographic record

VenueStudies in Second Language Acquisition · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of OttawaCape Breton University
Fundersnot available
KeywordsWillingness to communicateFriendshipPsychologySituatedFrench immersionSocial psychologyComprehensionReading (process)Mathematics educationLinguistics

Abstract

fetched live from OpenAlex

Willingness to communicate (WTC) has been defined as the intention to initiate communication, given a choice. It was hypothesized that orientations toward language learning as well as social support would influence students' WTC in a second language. Grade 9 students of L2 French immersion, living in a relatively unilingual Anglophone community, participated in the study. WTC was measured in each of four skill areas: speaking, writing, reading, and comprehension. Five orientations or reasons for studying an L2 were examined: travel, job related, friendship with Francophones, personal knowledge, and school achievement. Results showed that endorsement of all five orientations for language learning was positively correlated with WTC both inside and outside the classroom. Results also showed that social support, particularly from friends, was associated with higher levels of WTC outside the classroom but played less of a role inside the classroom. The support of friends was also associated with higher orientations for travel and for friendship with Francophones. Results are discussed in terms of an emerging situated model.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.365
Teacher spread0.321 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations626
Published2001
Admission routes1
Has abstractyes

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