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Record W4306825029 · doi:10.1515/ip-2022-5003

Interlocutors’ judgment of Lx conventional expressions: An exploratory study

2022· article· en· W4306825029 on OpenAlexaff
Suzie Beaulieu, Fanny Forsberg Lundell, Javier Bejarano

Bibliographic record

VenueIntercultural Pragmatics · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPragmaticsPsychologyPerceptionExploratory researchLinguisticsSpeech actSocial psychologySociology

Abstract

fetched live from OpenAlex

Abstract The present study is a perception study that investigates how French L1 speakers evaluate the speech produced by advanced French Lx users that deviates from the pragmatic norms of the local community. More specifically, this exploratory study investigates how conventional expressions that displayed pragmalinguistic or sociopragmatic deviances affected the raters’ (N = 62) evaluation of perceived communicative effectiveness and perceived likeability of the speakers in imagined intercultural encounters. Results from the study revealed that deviances were generally judged more severely on both evaluative dimensions than the target conventional expressions. Interestingly, however, findings also showed that deviances that partly included the pragmalinguistic or sociopragmatic resources preferred by target community members were evaluated positively. Methodological recommendations to pursue this new line of inquiry in the field of intercultural pragmatics are also discussed.

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)0.005
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.064
GPT teacher head0.293
Teacher spread0.228 · 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 designQualitative
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

Citations6
Published2022
Admission routes1
Has abstractyes

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