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Record W2573020295 · doi:10.3968/9165

Exploration Into the Embodiment of Literariness in Modern Chinese Painting

2016· article· en· W2573020295 on OpenAlexvenueno aff
Yong He

Bibliographic record

VenueCross-cultural communication · 2016
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsLiterarinessPaintingTreasureObject (grammar)AestheticsExpression (computer science)Style (visual arts)ArtCalligraphyEmbodied cognitionLiteratureVisual artsHistoryComputer scienceLinguisticsPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Literariness has been embodied in Chinese painting for a long time. Characters are the basic elements of literary works. Chinese characters themselves are a type of ideographic characters developed from pictograph, describe and depict concrete objects, and are exactly the same with the depiction of specific object images in the way of expression and drawing process. Therefore, there are various, countless, inherent and close ties between literary works made up of Chinese characters and Chinese traditional painting. For this reason, the embodiment of literariness in Chinese painting exists naturally. Today, on the social and realistic background of worldwide cultural diversification, Chinese painting is continuously affected by external factors and, thus, is changing quietly in creation pattern, painting style and artistic conception of painting etc.. However, in the process of development and change, only the ongoing and timeless literariness remains the same. Since the ancient times, painters and men of letters have been mutually unified and inseparable; nowadays, Chinese painting and literature foil each other and develop jointly. Later generations inheriting the cultural treasure of ancestors can make the art of Chinese painting unfailing in the continuous development of world culture only by completely inheriting and reserving the characteristic of literariness in Chinese painting.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.281

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 communication0.0000.003
Open science0.0010.000
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 head0.030
GPT teacher head0.345
Teacher spread0.314 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2016
Admission routes1
Has abstractyes

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