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Record W3173902651 · doi:10.3917/lang.222.0077

La compétence interculturelle et l’humour comme stratégie dans le contexte du management international

2021· article· fr· W3173902651 on OpenAlex
Pia Stalder, Christian Agbobli

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

VenueLangages · 2021
Typearticle
Languagefr
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Cet article s’inscrit au carrefour de la sociologie, de l’anthropologie, de la linguistique et de la pragmatique interculturelle. Il porte sur les compétences interculturelles et, plus particulièrement, sur l’humour comme stratégie de communication en milieu professionnel international. D’une part, nous donnons un aperçu des possibilités et des limites de l’humour dans les interactions entre personnes d’appartenances différentes. D’autre part, nous nous intéressons aux compétences clés de managers qui travaillent dans des contextes sociaux complexes. Nous présenterons d’abord un état des lieux sur l’humour dans le management international. Puis, sur la base d’une étude de cas, nous examinerons les fonctions et les effets de l’humour dans les interactions avant d’aborder la question des compétences de communication nécessaires pour travailler sur les scènes internationales.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.870
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.048
GPT teacher head0.353
Teacher spread0.306 · 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