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Artistic Characteristics of Fresco from the Perspective of Time-Space Construction

2013· article· en· W1864133111 on OpenAlexvenueno aff
Demei Qin

Bibliographic record

VenueCross-cultural communication · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Art History Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFrescoPaintingHarmony (color)Space (punctuation)Perspective (graphical)FeelingMathematicsArtVisual artsAestheticsComputer sciencePsychologySocial psychology

Abstract

fetched live from OpenAlex

The time-space construction characteristic of fresco embodies the human’s idea of reflecting infinite spiritual strength in finite individuals. The time-space of fresco includes not only the traditional three dimensions of space: length, width and height, but also the time factor, and the introduction of the latter renders a kind of multidimensional characteristic for the time-space of fresco. The fresco composition is featured in multiple centers, rendering macroscopic, grand and grandiose sense of fresco. The visual perception and psychological feelings given to the people by the fresco widely differ from those of ordinary easel paintings. The time-space construction of fresco can be divided into three main classes: realistic and logical construction; super-realistic and non-logical construction; interactional construction of fresco in harmony with the environment. The time-space of fresco sources from the spiritual time-space created by artists.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.915

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 studies0.0010.002
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 head0.020
GPT teacher head0.260
Teacher spread0.240 · 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 designTheoretical or conceptual
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
Published2013
Admission routes1
Has abstractyes

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