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Record W2200031205 · doi:10.1515/multi-2014-0108

Invitation refusals in Cameroon French and Hexagonal French

2015· article· en· W2200031205 on OpenAlexaff
Bernard Mulo Farenkia

Bibliographic record

VenueMultilingua · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsCape Breton University
Fundersnot available
KeywordsParallelsPreferenceVariation (astronomy)Face (sociological concept)PsychologyFocus (optics)SociologyLinguisticsPolitical scienceSocial sciencePhilosophyEngineering

Abstract

fetched live from OpenAlex

Abstract Descriptions of regional pragmatic variation in French are lacking to date the focus has been on a limited range of speech acts, including apologies, requests, compliments and responses to compliments. The present paper, a systematic analysis of invitation refusals across regional varieties of French, is designed to add to the research on intralingual regional pragmatic variation in French. Using questionnaire data collected in France and Cameroon, this paper examines the strategies employed by French speakers in Cameroon and in France to decline an invitation to a friend’s birthday party, an invitation by a classmate to have a drink and an invitation to attend a talk given by a professor’s colleague. The findings reveal some parallels in both varieties of French with respect to the preference for face-saving refusal strategies (indirect refusal and adjuncts to refusals and internal modification devices). However, many differences emerged with respect to the choices of indirect refusals. Also, the Cameroonian participants tend to produce more complex utterances and to use more relational address forms than the French.

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)0.011
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 score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.111
GPT teacher head0.326
Teacher spread0.215 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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