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Record W4353100372 · doi:10.54691/bcpep.v8i.4308

Intercultural Communciation in the International Negotiation

2023· article· en· W4353100372 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBCP Education & Psychology · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsNegotiationContext (archaeology)Intercultural communicationPublic relationsCultural diversityPolitical scienceSocial psychologyPsychologyInternational tradeBusinessLawCommunicationGeography

Abstract

fetched live from OpenAlex

With the gradual increase of international trade, international negotiation has become an indispensable skill in today's society. Intercultural communication is becoming more and more important in international negotiations. Effective cross-cultural communication and international negotiations with the other side can leave a good impression. Understanding the cultural differences between the two sides in international negotiations greatly improves the success rate of negotiations. However, to avoid offending others easily in negotiations, it is important to understand the negotiator's culture of the other party in advance. This paper mainly studies the factors that lead to cross-cultural negotiation, how to better analyze the differences in cultural differences, and how to carry out intercultural communication more effectively. Finally, it is concluded that it is important to respect the culture of other negotiators and understand the cultural background of other negotiators. This paper puts forward targeted suggestions, raises the issue of cultural differences, and helps promote the success of international negotiations in the context of cultural differences.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.083
GPT teacher head0.464
Teacher spread0.381 · 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