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About the Chinese Character of “Ri”(“日”)

2010· article· en· W1918870216 on OpenAlexvenueno aff
Xu-wu Huang

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicNational Identity and Symbolism
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)Natural (archaeology)Chinese charactersChinese cultureHumanitiesArtLiteratureHistoryPhilosophyLinguisticsChina

Abstract

fetched live from OpenAlex

The Chinese character of “Ri”(“日” )is a typical pictographic character. Given the fact that it reflects natural objects, it is very easy for it to be noticed by ancient people in the beginning of the Chinese character formation. Therefore, the examination of the character of “Ri”(“日” ) is of great significance to the study of Chinese characters. In the meantime, by examining the close ties between the character of “Ri”(“日”) and the Chinese culture, we will be able to provide ways of thinking to understand the cultural and psychological dimension of Chinese characters. Keywords: the character of “Ri”(“日”), pictographic, characteristic culture Resume Le caractere « soleil » est un ideogramme typique. Comme il reflete la nature, les createurs des caracteres chinois de l’Antiquite penserent facilement a lui. Donc l’etude de ce caractere revetit une portee universelle pour la recherche du caractere chinois. En meme temps, l’investigation sur les liens etroits entre ce caractere et la culture contribue a comprehendre la formation de la psychologie culturelles des caracteres chinois. Mots-cles : « soleil », ideogramme, embleme special, culture 摘要 “日”字是一個典型的象形文字。因其反映自然之物,最容易進入漢字造字之初古人的視野,所以考察“日”字,對於研究漢文字,具有普遍性的意義,同時根據“日”字與文化之間密切聯繫的考察,為瞭解漢字的文化心理構成提供思路。 關鍵詞:“日”;象形;特徵;文化

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)0.001
metaresearch head score (Gemma)0.002
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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.007
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.389
Teacher spread0.365 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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