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English and Chinese Culture Differences from Linguistic Viewpoint

2010· article· en· W1829760023 on OpenAlexvenueno aff
Xiao Fen

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLinguistic relativityHumanitiesSinologyNousMythologyPhilosophyLinguisticsSociologyChinaPsychologyHistory

Abstract

fetched live from OpenAlex

According to the idea of some Anthropologists, i.e., Edward Sapir and Benjamin Lee Whorf, Sapir’s student, the unique organization of universe that is embodied in each language might act as a determining fact or in the individual’s habits of perception and of thought, thus forming and maintaining particular tendencies in the associated nonlinguistic culture. The idea provides us with a refreshing angle in understanding one of the important underlying causes for the difference between English and Chinese people in their ways of thinking, and thus induced ways of behavior toward their surroundings and some linguistic light on the historical myth mentioned by the famous British sinologist Joseph Needham and on why Chinese science ceased its development after Middle Ages. Key words: Whorfian hypothesis, language, culture difference Resume: D’apres certains anthrologues comme Edward Sapir et son etudiant, Benjamin Lee Whorf, l’organization unique de l’univers implante dans chaque langage peut etre servie comme un determinant sur l’habititude individuelle d’observation et de la pensee, qui determine et maintient une tendance particuliere dans la culture non-linguistique. L’idee nous permet de comprendre une des raisons implicites des differences dans la pensee entre les chinois et les francais, et induit des mainieres de comportement envers leur environnement et donne une lumiere sur le mythe histoire mentione par le fameux sinologist Joseph Needham et explique pourquoi le developpement de la science chinoise a arrete apres le Moyen age. Mots-Cles: Hypothese de Whorf, langage, difference culturelle

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.010
GPT teacher head0.223
Teacher spread0.212 · 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.

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
Published2010
Admission routes1
Has abstractyes

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