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Record W2724578020

Ten Principles of Intercultural Communication. Observations on Igor E. Klyukanov's Foundational Text

2017· article· en· W2724578020 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

VenueHOPE (Hauptbibliothek Open Publishing Environment) (University of Zurich) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage, Communication, and Linguistic Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIntercultural communicationInterpersonal communicationConstruct (python library)Communication studiesSociologyPsychologyLinguisticsEpistemologyCommunicationComputer scienceSocial science
DOInot available

Abstract

fetched live from OpenAlex

Intercultural communication is quickly becoming a pivotal area of study in an increasingly expanding global village brought about by rapid telecommunications technology. As a result, the danger for misunderstandings to arise when interlocutors who belong to different speech communities enter into intercultural communication situations are many. The study of the linguistic and interpersonal dynamics that characterize such situations has been carried out in recent years, producing many interesting findings. What this line of research lacks, however, is a theoretical framework. The recent work by Klukanov, which proposes ten principles for the study of intercultural communication, can be enlisted to construct such a framework. This paper examines these principles in the light of their general implications for the systematic study of intercultural communication and for discourse theory generally.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.732
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.003
Open science0.0050.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.105
GPT teacher head0.308
Teacher spread0.203 · 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