MétaCan
Menu
Back to cohort
Record W1577474607

On the Innovation of Color Painting Art in Modern Pseudo-Classic Architecture

2014· article· en· W1577474607 on OpenAlexvenueno aff
Jianian Liang, Xiao Liang

Bibliographic record

VenueCanadian social science · 2014
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingConnotationArchitectureStyle (visual arts)Theme (computing)AestheticsCreativityCivilizationVisual artsInheritance (genetic algorithm)Computer scienceArtHistoryPsychologyPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Color painting art in modern pseudo-classic architecture is the inheritance and development of traditional architectural color painting. It can effectively enhance the cultural connotation and external temperament of pseudo-classic architecture and is one of the important visual art approaches to inherit Chinese civilization. Based on the analysis of the present problems of color painting art in pseudo-classic architecture such as the skill heritage, theoretical research, creativity implementation, and professional talents and so on, the article proposes to create six new approaches from the aspect of style, content theme, color performance, materials and techniques, theoretical confidence, and personnel training.

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)0.001
metaresearch head score (Gemma)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.247
Teacher spread0.231 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCanadian social scienceSame topicDigital Media and Visual ArtFrench-language works237,207