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Record W2766293170 · doi:10.5821/jida.2017.5270

Laboratorio de etología arquitectónica: desde la estética evolutiva de la arquitectura

2017· article· es· W2766293170 on OpenAlexaboutno aff
Arturo Frediani Sarfati

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldArts and Humanities
TopicArchitecture, Art, Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesStudioContext (archaeology)ArchitectureCartographySociologyArtGeographyVisual artsArchaeology

Abstract

fetched live from OpenAlex

Presento una doble innovación docente en el contenido y también en su metodología.Un experimento ensayado en el contexto del Senior Research Studio in Architecture de la Universidad de Calgary durante el curso 2016-17 cuyo marco teórico, la estética evolutiva de la arquitectura, considera a la arquitectura un comportamiento característico de la etología humana. Tras la ocupación y balizado in situ de un emplazamiento periurbano, los estudiantes desarrollan sus proyectos en tres niveles, el individual (una vivienda con taller)el grupal (de los recintos delimitados en la ocupación) y el proyecto colectivo de un barrio funcional. La presentación de resultados provisionales (iteraciones) cada pocas semanas permite comprobar en una maqueta de trabajo del emplazamiento, cómo afloran las emociones arquitectónicas básicas de la especie humana a medida que se articulan los intereses individuales con los de grupo, y los de cada grupo con los de curso. I here introduce a double teaching innovation, in its content and also in its methodology. An experiment rehearsed in the context of the Senior Research Studio in Architecture at the University of Calgary during the 2016-17 academic year, whose theoretical framework, the Evolutionary Aesthetics of Architecture, considers that architecture is a typical behavior of the human ethology. After the claim of a periurban site, the students develop their designs in three nested levels. The individual level (a dwelling with a workshop) the group level (within the claimed enclosures) and the collective design of a functional neighborhood. The submission of interim outcomes every few weeks (iterations) enable us to verify on a working model of the site, how the basic architectural emotions of the human species arise as the individual interests get articulated with those of the group and, in their turn, also the group interests get articulated with those of the studio.

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)0.010
metaresearch head score (Gemma)0.013
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 score0.019
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.009
Scholarly communication0.0190.011
Open science0.0020.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0140.004

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 head0.015
GPT teacher head0.300
Teacher spread0.285 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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