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Record W2081501590

Calatrava : Santiago Calatrava complete works 1979-today

2015· book· en· W2081501590 on OpenAlexaboutno aff
Philip Jodidio, Santiago Calatrava

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionArchitectureContext (archaeology)EngineeringArt historyGround zeroMetropolitan areaBridge (graph theory)TowerVisual artsArtLibrary scienceHistoryCivil engineeringArchaeologyPolitical scienceComputer scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Master Of Form. Fusion of architecture, art and engineering. Santiago Calatrava is a renowned architect, structural engineer and artist. Recent projects such as the Athens 2004 Olympic sports complex, the Turning Torso in Malmo, and TGV station in Liege, have brought him international acclaim. The only architect to exhibit at both the Museum of Modern Art and the Metropolitan Museum of Art in New York, he is presently designing the main transportation hub for Ground Zero in Manhattan, as well as the tallest building in the USA: the 150-story Chicago Tower. Calatrava collaborated extensively on this monograph, which traces his career and places his architecture in the context of his art and engineering prowess. All of his works, from the suspended swimming pool at Zurich's Federal Institute of Technology to his latest, startling designs, are featured in this lavishly illustrated volume. This updated 2014 trade edition of the original large monograph includes new projects such as the Peace Bridge in Calgary, Canada, the Conference and Exhibition Center in Oviedo, Spain, and the Mediopadana Station in Reggio Emilia, Italy.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.149
Threshold uncertainty score0.499

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1490.058

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 head0.017
GPT teacher head0.208
Teacher spread0.191 · 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
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

Citations3
Published2015
Admission routes1
Has abstractyes

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