Bibliographic record
Abstract
The topic of the article is a review of the most interesting and extravagant projects of Santiago Calatrava from the moment of his architectural beginning in civil engineering to the present. I focused on structures that caused the greatest wave of admiration and at the same time criticism of this known in the world architect. I chose objects, e.g.: buildings, structures, bridges and footbridges. I described the most important information, e.g. : construction time, construction costs, functionality, architectural style, technology and curiosities. The idea for the paper arose from my trip to the United States of America, where I had the opportunity to see one of the most interesting buildings - The World Trade Center Transportation Hub in New York. In addition, Santiago Calatrava's projects I discussed during lesson that in my university. The first part of the paper describes the author, his education, fascination with architecture, ideas for work and the future. In addition, I have included trivia related to childhood and adulthood of the architect. I described Calatrava's approach to projects and the entire implementation process from concept to finished construction. The following parts describe specific projects that I chose for analysis, these are: Stadelhofen railway station in Zurich, Bac de Roda bridge in Barcelona, Puente del Alamillo Expo 92 in Seville, Atrium of Brookfield Place in Toronto, Gare de Lyon Saint Exupéry railway station in Lyon, Gare do Oriente in Lisbon, Milwaukee Art Museum in Milwaukee, Auditorio de Tenerife in the Canary Islands, Science Museum in Valencia, Museum of Tomorrow in Rio de Janeiro, The World Trade Center Transportation Hub in New York. In the article, I've also placed interesting pictures that perfectly illustrate the architectural style, the scale of the building, and assess whether the object fits into the surroundings. In summary, I checked all the information and expressed my opinion on Calatrava's projects, its approach to architecture and described future plans for new buildings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".