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Record W2398330390 · doi:10.18806/tesl.v33i1.1225

Switches to English during French Service Encounters: Relationships with L2 French Speakers’ Willingness to Communicate and Motivation

2016· article· en· W2398330390 on OpenAlexaffvenueabout
Stephanie McNaughton, Kim McDonough

Bibliographic record

VenueTESL Canada Journal · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesPsychologySecond languageLinguisticsPolitical scienceSociologyArtPhilosophy

Abstract

fetched live from OpenAlex

This exploratory study investigated second language (L2) French speakers’ service encounters in the multilingual se ing of Montreal, specifically whether switches to English during French service encounters were related to L2 speakers’ willingness to communicate or motivation. Over a two-week period, 17 French L2 speakers in Montreal submitted online questionnaires after they concluded service encounters that they had initiated in French. Their willingness to communicate in French was higher when the service provider did not switch to English; however, the frequency of English switches was not related to their general motivation to learn French. Possible reasons for language switches are explored, and pedagogical implications are highlighted. Ce e étude exploratoire porte sur des consultations qu’ont eues des locuteurs de français L2 dans le milieu plurilingue qu’est Montréal; plus précisément, les auteures se penchent sur la question de savoir si les transferts du français vers l’anglais pendant les consultations étaient liés à la volonté des locuteurs L2 à communiquer ou à la motivation. Au cours d’une période de deux semaines, 17 locuteurs de français L2 à Montréal ont complété des questionnaires en ligne après avoir eu des consultations qu’ils avaient initiées en français. Ils étaient plus motivés à communiquer en français quand le fournisseur de services ne passait pas à l’anglais; toutefois, la fréquence des transferts vers l’anglais n’était pas liée à leur motivation générale pour apprendre le français. Les auteures évoquent des raisons possibles pour le passage à l’anglais et en soulignent les répercussions pédagogiques.

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 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 categoriesScience and technology studies, Insufficient 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 score0.653
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 studies0.0010.000
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 head0.033
GPT teacher head0.191
Teacher spread0.158 · 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 teacher head, not a consensus.

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

Citations3
Published2016
Admission routes3
Has abstractyes

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