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Record W3122079319 · doi:10.7202/1073148ar

Lloyd Wright and the Lehigh Airport Competition

2020· article· fr· W3122079319 on OpenAlexvenueaboutno aff
Howard Shubert

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesWrightArt history

Abstract

fetched live from OpenAlex

En 1929, 321 architectes participaient au concours organisé pour la conception d’un aéroport parrainé par la Lehigh Portland Cement Company d’Allentown en Pennsylvanie. Le Centre Canadien d’Architecture possède aujourd’hui deux grands rendus et 24 dessins préparatoires que l’architecte Lloyd Wright (1890-1978) a présentés à ce concours. L’analyse des rendus et des dessins préparatoires nous aide à mieux comprendre la nature du programme du concours. On peut retracer ainsi les différentes étapes qui ont été poursuivies par Lloyd Wright pendant la formulation de son envoi. Il considérait l’aéroport comme un centre nerveux autour duquel s’articulait un système de transport intermodal. Ses croquis indiquent qu’il imaginait un réseau efficace et logique dont l’enchevêtrement complexe rendait possible la circulation sans heurt d’avions, de piétons, d’automobiles et de bateaux. Les travaux de Lloyd Wright et le programme du concours nous renseignent également sur les facteurs qui exerçaient une influence sur la conception d’ensembles architecturaux qui étaient nouveaux à l’époque.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0890.008

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 head0.014
GPT teacher head0.159
Teacher spread0.144 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2020
Admission routes2
Has abstractyes

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Same venueRACAR Revue d art canadienneSame topicHistorical Art and Culture StudiesFrench-language works237,207