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Record W4411618081 · doi:10.51847/1psdpo2ejv

10.51847/1PSDPo2ejv

2000· article· en· W4411618081 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureAestheticsArtArt historyVisual arts

Abstract

fetched live from OpenAlex

what nowadays we call performance is the result of theoretical definitions in the opinions and theories of architectures and pundits of the architecture theorizing history and especially in twenty century.Thinking in the quiddity of this concept and understanding its real meaning need to study its quiddity in the opinions of elders who have had main share in transformation of fundamental concepts of architecture theorizing.(Sofeh magazine/ the performance concept in Louie Kan thought/Gharibpour, Afra).This article tries that with studying the theories of ((Louie Kan)) and ((Walter Gropious)) about architecture, study and explain the quiddity of performance concept in their opinions.In the first part, the thoughts of Louie Kan about architecture are studied.In this part, according to the fundamental words and phrases that Louie himself has applied them and studying his theoretical views, philosophic substructure of his thought about architecture is interpreted and according to the thoughts of Louie Kan about architecture, it is tried that the performance concept to be interpreted and explained.In the second part, the thoughts of Gropious about architecture performance are studied.In this part, according to the theories of Gropious and the goals of Bauhaus school in the field of architecture performance and practical arts, also reconciling and relation of architecture with industrial designing are studied.And finally the differences and similarities of these two architects in their thought and style are studied.

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 score0.953
Threshold uncertainty score0.521

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)0.9600.959

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 head0.008
GPT teacher head0.174
Teacher spread0.166 · 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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