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ADDRESS FORM AS A REFLECTION OF ETHNO-CULTURAL STYLE OF COMMUNICATION (based on British and Canadian English)

2019· article· en· W2980271063 on OpenAlexaboutno aff
Yulia B. Yuryeva

Bibliographic record

VenueRUDN Journal of Language Studies Semiotics and Semantics · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)PolitenessSociocultural evolutionCross-cultural communicationIntercultural communicationPragmaticsLinguisticsSociologyMeaning (existential)Hofstede's cultural dimensions theoryBritish EnglishCultural diversitySocial distancePsychologySocial psychologyCommunicationHistoryAnthropology

Abstract

fetched live from OpenAlex

Culture and the process of communication are interrelated, since culture not only indicates between which members of the society a communication act is possible, but also helps to decode correctly the meaning of the message that was encoded, and also according to what conditions the message would be correctly interpreted by the interlocutor. The historically established ethno-cultural style of communication (T. Larina) reflects the communicative peculiarities of people’s behavior when choosing verbal and non-verbal means in the process of communication. The article is devoted to sociocultural features that influence the choice of language means for expressing an initial speech formula. The aim of our research is to examine address forms in the boundaries of one language but in two different countries (Canada, Great Britain) with their historical and cultural background. We draw on Cultural Dimensions of G. Hofstede (1991), the Theory of Politeness (Brown & Levinson 1987, Leech 2014), the background of Intercultural Pragmatics (A. Wierzbicka 2003, I. Kecskes 2014), Speech Accommodation Theory (Giles 1977) and etc. The article presents the results of the study on the usage of address forms among the representatives of British English (BrE) and Canadian English (CanE) in order to identify similarities and differences and to explain the results according to cultural characteristics.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.998

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)0.0000.000

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 head0.035
GPT teacher head0.315
Teacher spread0.280 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations2
Published2019
Admission routes1
Has abstractyes

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