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Record W3117568811 · doi:10.18280/ijdne.150603

Concrete as Heritage: The Social Perception from Heritage Criteria Perspective. The Eduardo Torroja’s Work

2020· article· en· W3117568811 on OpenAlexvenueno aff
Gema Ramírez-Guerrero, Javier García-Onetti, J. Adolfo Chica Ruiz, Manuel Arcila Garrido

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
FundersEuropean Commission
KeywordsArchitectureInterpretation (philosophy)Representativeness heuristicCultural heritagePerspective (graphical)AestheticsBeautyField (mathematics)Work (physics)PerceptionSociologyEngineeringVisual artsArchitectural engineeringHistoryArtArchaeologyPsychologyEpistemologyPhilosophySocial psychology

Abstract

fetched live from OpenAlex

Eduardo Torroja Miret (1899-1961) was one of the most important Spanish engineers. His understanding of structures and materials made him a world reference in the field of engineering and architecture. Due to the lack of ornamentation in his works and the lack of heritage interpretation aimed at a non-specialist public, many of his works sometimes go unnoticed by inexperienced eyes and, despite his important legacy, Torroja remains a great unknown. This paper reports on the existing heritage perception of two of his most outstanding works in Spain, the Zarzuela Hippodrome and the Instituto Técnico de la Construcción y el Cemento (Eduardo Torroja Institute). To this end, surveys and interviews were carried out with visitors to both buildings based on different heritage criteria, such as their architectural importance, aesthetics, significance or representativeness, but also from the point of view of the available tourist infrastructure. The results show a lack of appreciation in the heritage criteria related to its architectural, historical and aesthetic values, combined with a lack of knowledge about Torroja and its way of understanding architectural beauty.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.278
Teacher spread0.228 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations7
Published2020
Admission routes1
Has abstractyes

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