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Record W6999142430

Brutalismo doméstico. Un espacio para la contemplación

2021· article· es· W6999142430 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repository of the University of Granada (University of Granada) · 2021
Typearticle
Languagees
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
FundersModerna
KeywordsContext (archaeology)Work (physics)ArchitectureArticulation (sociology)
DOInot available

Abstract

fetched live from OpenAlex

La cuestión sobre las futuras formas de habitar fue investigada recientemente por P. Gadanho, \nquien identificó una constelación de arquitectos japoneses que responden a ella mediante unos \nbreves manifiestos y a través de su propia obra. Algunos de estos proyectos son viviendas \nexperimentales que sirven de hilo-conductor a este texto para abordar conceptos como la \nrelación entre naturaleza y arquitectura, la proximidad entre arquitecturas futuras y primitivas, \nlos gradientes espaciales entre el espacio interior y el exterior, la arquitectura como fenómeno \nsocial y el permanente deseo por alcanzar una mayor transparencia y ligereza estructural. \nFinalmente el texto presenta dos obras singulares: la villa Sudbury y la casa de Jesús, que \nofrecen una respuesta local a las cuestiones abordadas anteriormente. La principal idea que \nintroducen es la incorporación de la escala monumental al espacio doméstico, con el fin de \ncrear nuevos espacios completamente libres, inmateriales y puramente contemplativos.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.025
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.011
GPT teacher head0.172
Teacher spread0.161 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

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