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Record W4411656971 · doi:10.51847/qdk9t5ch50

10.51847/QDk9T5CH50

2000· article· en· W4411656971 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicColor perception and design
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingArtAestheticsVisual arts

Abstract

fetched live from OpenAlex

The coffee shops paintings, in general, are the reflection of desires, interests, myths, and national and religious beliefs; meanwhile, they represent the ruling cultural spirit of the middle class in the urban community in Iran.This kind of painting has got its own special features and components which should be investigated in its own place, separately.One of the important aspects of these features is the aesthetic one which the current paper attempted to investigate.That said, the main purpose of the current study was to investigate the aesthetic features in the paintings of Hossein Gholler Aghasi.The main research questions were: How did the coffee shop painters use color to create artistic works?Did the painters pay attention to the concepts and effects of colors in their work?What colors have been used in coffee shop paintings and for conveying which concepts?How did the coffee shop painters use color and which components were included in their paintings?Moreover, in the current study, the combination of colors, the harmony of colors, the cold and warm colors, and their concepts, as well as the ratio of the function of colors to objects and geometric shapes were examined.The results of this thesis show that Agassi has a full understanding of the components and principles of linguistic, the concepts of colors, harmony, and the combination of different colors.Accordingly, in each of the types of coffee houses (Religious, Martial, and lyrical), the right harmony gives geometric shapes with appropriate colors and a decent character has been done through any color.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.669
Threshold uncertainty score0.377

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)1.0000.999

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 head0.018
GPT teacher head0.253
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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