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Record W2343799204 · doi:10.4000/abe.2610

Questions on space and intersections in the historiography of modern Brazilian architecture

2015· article· en· W2343799204 on OpenAlexaboutno aff
Anat Falbel

Bibliographic record

VenueABE Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyArchitectureDeconstruction (building)NarrativeAssertionQuarter (Canadian coin)DictatorshipSpace (punctuation)HistoryPeriod (music)Interpretation (philosophy)SociologyAestheticsArt historyLiteratureArtPhilosophyArchaeologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

This text proposes a spatial approach to a particular historiographical analysis: the deconstruction of the Brazilian modern architecture narrative as advanced by its main proponent architect, Lúcio Costa. The analysis is advanced from three different perspectives. The first concerns the place from within the Brazilian modern architecture narrative occupied by Lúcio Costa during the 1930s, a period of major cultural unrest under the Estado Novo dictatorship (1937–1945). The second invokes the field of cultural geography, scrutinising Costa’s understanding of the concept of history and the way he understood and used the notions of transferences, exchanges and dialogues both in the cultural space of the time and between the past and the historical present. Costa’s commitments to the assertion of a national identity emerge in contrast to the supranational character of North American scholars George Kubler and Robert Chester Smith’s formulations on Latin American art and architecture. The third and last perspective introduces the idea of cultural dialogue, following the tradition of the spatial theoretical formulations developed by Georg Simmel and Martin Buber during the first quarter of the twentieth century.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.030
Scholarly communication0.0070.008
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.298
Teacher spread0.269 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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