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Record W2155830123

Advantages and Thinking on Design of Chinese Characters’ Graphics

2015· article· en· W2155830123 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

VenueStudies in literature and language · 2015
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsChinese charactersPronunciationCharacter (mathematics)GraphicsChinese cultureMeaning (existential)Composition (language)PerceptionComputer scienceKanjiDesign thinkingLinguisticsChinaPsychologyHuman–computer interactionHistoryArtificial intelligenceComputer graphics (images)Mathematics
DOInot available

Abstract

fetched live from OpenAlex

Given now the designs with Chinese characters as a major element by Chinese visual communication designers are still not adequate, this paper focuses on the design of Chinese characters’ and tries to explore the development potentials and new ideas on Chinese characters in current visual communication. The origins of the world’s characters show all characters have ever been related to pictures. As Chinese characters express both meaning and pronunciation and their origins and composition are closed related to graphics, the graphic design of them has a great advantage. This paper proposes three ideas on the design of Chinese characters’ graphics on the basis of the study of the development and composition of Chinese characters, in the hope of obtaining a further understanding of the traditional perception ways and creative thinking methods of Chinese and continue to develop Chinese character culture.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.249

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 head0.034
GPT teacher head0.340
Teacher spread0.306 · 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