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Record W7043480537

Sports Architecture: High-Tech Urban Infrastructure between Identity, Enhancement, and Redevelopment

2024· book-chapter· en· W7043480537 on OpenAlexaboutno aff

Bibliographic record

VenueVirtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2024
Typebook-chapter
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsStadiumArchitectureRedevelopmentHistoriographyField (mathematics)Urban planning
DOInot available

Abstract

fetched live from OpenAlex

Sports architecture is almost ignored by the historiographical and architectural culture, this is even more surprising if we consider how it has always been fields of technological-constructive and engineering-structural experimentation. It is also true that from the late nineteenth century until the eighties of the last century, the construction field of the stadiums is characterized by the predominance of engineering culture that has limited its essence to structural functionalism. If we consider the Generational Theory of Sports Infrastructures with particular regard to their technological evolution (Allegri, 2006, 2021) we can see, between the late 60s and early 70s, a first important step towards the technological complexity of sports buildings with the introduction of innovative materials and construction systems for building coverings and skins. Just think of the polymeric materials of the Olympic Stadium in Munich (1972), the high-performance composite textiles of the Olympic Stadium in Montreal (1976) or the "MERO system" of the Municipal Stadium in Split (1979). The aesthetics of the machine has always been, since ancient times, the main feature of architecture for sport where structure/ technology/construction are merged in a language where everything is led back to pure function. It is precisely from the end of the 80s to the 90s, that this material-technological innovation is added to that of systems for handling portions of buildings: hi-tech for complex and multifunctional urban machines, as in the case of the Amsterdam Arena (1996) or the Millennium Stadium in Cardiff (1997). All of these are hi-tech experiments that have anticipated the latest generation of hyper-technological sports infrastructures that, from the early 2000s, have added technology as a language of aesthetic aspects. In Italy, the last major event (1990 World Cup) was characterized by functional-adjustment and interventions structural of some historical sport buildings and the construction of sports facilities set to research new materials and their application in experimental construction systems. Within just three decades, they have already been extensively reworked, some replaced, others abandoned. For example, the Delle Alpi Stadium in Turin (1990) that was demolished after a few years, or the San Nicola Stadium in Bari (1990), designed by Renzo Piano, where the innovation is characterized by a steel structure suitable for large lights, along with a transparent Teflon cover. The proposed paper investigates aspects never analyzed before in a scientific approach, between the history of technological culture, conservation and enhancement of some architectural icons sports, references of the cultural landscape and identity. The investigation runs between the needs for updating and the conservation/ enhancement of buildings with high identity value, in a delicate balance where economic-managerial sustainability becomes a strategic objective. An interesting case lies in the Italian context, where the relationship between city, stadium and cultural heritage is linked and requires specific approaches.

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.027
Scholarly communication0.0100.008
Open science0.0010.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.010
GPT teacher head0.199
Teacher spread0.189 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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