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Record W3124941351 · doi:10.3968/11915

A Study on the Translation and Intercultural Communication of Yugur Ethnic Culture

2020· article· en· W3124941351 on OpenAlexvenueno aff
Zhijiao Feng

Bibliographic record

VenueCross-cultural communication · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupNationalityChinaEthnic cultureCultural inheritanceInheritance (genetic algorithm)Intercultural communicationChinese cultureCultural communicationSociologyCultural diversityCultural exchangePolitical scienceImmigrationAnthropologyLinguisticsCommunicationLawPoetry

Abstract

fetched live from OpenAlex

The Yugar people (distinct form Uighur) are unique to Gansu Province and are one of the smallest ethnic minorities in China. Their distinctive culture has a history of more than 2400 years and serves as an essential part of Chinese culture as well as an indispensable portion of national cultures of the world. The inheritance and development of Yugur culture satisfy the need for Yugur nationality development, as well as the demand of the cultural exchanges and mutual learning of various nationalities in the world. Combining the development characteristics of Yugur culture with the theoretical framework of medio-translatology, this paper constructs a four-in-one framework for the cross-cultural communication of Yugur culture, namely national initiative, ethnic writing, industry innovation, and talent cultivation. This provides a certain reference for cross-cultural communication of Yugur culture and other ethnic cultures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.150
GPT teacher head0.421
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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