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Record W4319001261 · doi:10.5430/wjel.v13n3p44

Implementation of Partnership Principles in Cross-Cultural Communications Amongst Malay, Akit, and Chinese Ethnics

2023· article· en· W4319001261 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

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMalayFellCategorizationEthnic groupGeneral partnershipMulticulturalismPsychologySociologyPolitical scienceLinguisticsComputer scienceGeographyPedagogyAnthropologyLawArtificial intelligence

Abstract

fetched live from OpenAlex

A Cross-cultural communication occurs in multicultural and multilingual societies. Selatpanjang is a multicultural and multilingual city with "native" ethnic Malays, Chinese, and Akit people. This research aims to describe the implementation of partnership principles in cross-cultural communication amongst Malay, Akit, and Chinese ethnics in Selatpanjang. This study uses a descriptive method. Data were collected through observations and interviews. The steps taken in analyzing the data are data reduction, data categorization, data synthesis, and formulation of research findings. The research findings revealed that the implementation of partnership principles in cross-cultural communication amongst Malay, Akit, and Chinese ethnics is as follows: 14.2% of respondents from the Malays implementing the partnership principles belong to the "very good" category. In addition, 43.2% of them belong to the "good" category. 42.5% of them belong to the "fairly good" category. None of them fall into the "poor" category; 58.7% of respondents thought the Akit ethnic group fell into the "very good" category, 31.2% fell into the "good" category, 10% fell into the "fairly good" category, and none fell into the "poor" category. Regarding Chinese ethnics, 38% of them belong to the "very good" category, 22.7% belong to the "good" category, 18.25% belong to the "fairly good" category, and none belong to the "poor" category. In addition, the findings revealed that the implementation of partnership principles cannot be separated from the language characteristics of each ethnic group. Akit people tend to convey the right amount of message and the right information, focus on the topic of conversation, and speak concisely "according to" their rigid, closed, and flat character. Ethnic Malays commit several violations of the maxim of the partnership principle, influenced by their humorous, adaptable, and self-limiting character. Chinese tend to be serious and focused, but they speak longer to convince interlocutors.

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)0.001
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 score0.174
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.047
GPT teacher head0.364
Teacher spread0.316 · 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