MétaCan
Menu
Back to cohort
Record W7128564546

Communication interculturelle et perception du sentiment d'exclusion

2025· other· fr· W7128564546 on OpenAlexaboutno aff
Carmen Ornella Zegang Zegang

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2025
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Interpersonal communicationInclusion (mineral)Perception
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ : Dans un contexte professionnel marqué par la mondialisation et la mobilité des travailleurs, les organisations sont confrontées à une diversité culturelle croissante qui influence profondément les relations interpersonnelles et la dynamique des équipes. Cette recherche s'intéresse à la communication interculturelle et à son rôle dans la perception du sentiment d'exclusion au sein des milieux de travail. À travers une démarche autopraxéographique, l'auteure analyse deux expériences vécues dans des environnements professionnels distincts, l'un au Cameroun et l'autre au Québec, afin de mettre en évidence cinq dimensions majeures : la confrontation identitaire et la disqualification symbolique, la communication et l'invisibilisation symbolique, les inégalités organisationnelles et l'exclusion sociale, la stigmatisation de l'ambition et l'assignation identitaire, ainsi que les stratégies d'intégration et leviers d'inclusion. L'analyse montre que les normes implicites, les pratiques langagières, la répartition inégale des tâches, certains comportements relationnels et les résistances à l'égard de l'ambition contribuent à alimenter le sentiment d'exclusion. Toutefois, des leviers d'inclusion émergent, tels que l'alliance interpersonnelle, la reconnaissance des compétences, la formation croisée, la création d'espaces de dialogue et la mise en place de gestes quotidiens favorisant l'intégration. Ce mémoire propose ainsi des pistes concrètes pour renforcer la cohésion, réduire les tensions et promouvoir une gestion plus consciente, équitable et inclusive des équipes de travail diversifiées. -- Mot(s) clé(s) en français : communication interculturelle, sentiment d'exclusion, diversité culturelle, inclusion organisationnelle, micro-agressions, stratégies d'intégration, équipe de travail. -- ABSTRACT : In a professional context marked by globalization and worker mobility, organizations are confronted with increasing cultural diversity, which profoundly influences interpersonal relationships and team dynamics. This research focuses on intercultural communication and its role in the perception of exclusion in the workplace. Using an autopraxeographic approach, the author analyzes two experiences in distinct professional environments, one in Cameroon and the other in Quebec, to highlight five major dimensions: identity confrontation and symbolic disqualification, communication and symbolic invisibility, organizational inequalities and social exclusion, stigmatization of ambition and identity assignment, as well as integration strategies and levers for inclusion. The analysis shows that implicit norms, language practices, unequal distribution of tasks, certain relational behaviors, and resistance to ambition contribute to fueling feelings of exclusion. However, levers for inclusion are emerging, such as interpersonal alliances, recognition of skills, cross-training, the creation of spaces for dialogue, and the implementation of everyday actions that promote integration. This thesis thus proposes concrete ways to strengthen cohesion, reduce tensions, and promote more conscious, equitable, and inclusive management of diverse work teams. -- Mot(s) clé(s) en anglais : intercultural communication, feeling of exclusion, cultural diversity, organizational inclusion, microaggressions, integration strategies, work team.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.006
GPT teacher head0.207
Teacher spread0.201 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueSémaphore (Université du Québec à Rimouski)French-language works237,207