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Research on Intercultural Business Communication

2010· article· en· W2147998747 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Issues in Poland
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyHumanitiesIntercultural communicationContext (archaeology)PedagogyPhilosophyGeography

Abstract

fetched live from OpenAlex

This paper discusses the problem of intercultural business communication when a disaster hits. And also it focuses on the positive and negative experience and the pros and cons. And it suggests successful methods how to develop intercultural business communication skills which help business people improve communication with anybody in the workplace from a variety of cultures or subcultures. Key words: intercultural communication, misunderstanding, bridge differences, social values, ideas of status, decision-making habits, attitudes toward time, use of space, cultural context, body language, manners, and legal and ethical behavior, language barriers, cultural biases, company image Resume: L’article present traite le probleme de la communication commerciale interculturelle lorsque qu’une catastrophe est survenue. L’auteur se concentre sur les experiences positive et negative ainsi que les avantages et desavantages, et puis propose des methodes reussies de developper des tehniques de communication commerciale interculturelle qui aident les hommes d’affaires a ameliorer la communication avec quiconque dans le travail avec de diverses cultures ou subcultures. Mots-Cles: communication interculturelle, comprehension, supprimer les differences, valeurs sociales, idees de statut, habitudes de la prise de decision, attitude envers le temps, utilisation de l’espace, contexte culturel, langage du corps, manieres, comportement legal et ethique, barrieres langagieres, prejuges culturels, image de l’entreprise

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0070.007
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.094
GPT teacher head0.461
Teacher spread0.367 · 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