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Record W2285867587 · doi:10.9771/ccrh.v18i44.18523

HISTÓRIA DAS IDÉIAS EM NELSON WERNECK SODRÉ E JOÃO CRUZ COSTA: uma saga da consciência nacional

2006· article· pt· W2285867587 on OpenAlexaff
Norma Côrtes

Bibliographic record

VenueCaderno CRH · 2006
Typearticle
Languagept
FieldSocial Sciences
TopicBrazilian cultural history and politics
Canadian institutionsExtendicare (Canada)
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

O artigo analisa duas importantes obras publicadas em fins da década de 1950 e, considerando seus modos de configurar e narrar o curso de formação das idéias nacionalistas no Brasil, identifica forte proximidade entre Nelson Werneck Sodré e João Cruz Costa. Palavras-Chave: História da inteligência brasileira, História intelectual e Filosofia no Brasil, intelectuais e idéias nacionalistas. history OF IDEAS IN Nelson Werneck Sodré AND João Cruz Costa: the saga of a national awareness The paper analyzes two important works published by late 1950’s. By taking into consideration their configurations and narration of the course for the formation of the nationalist ideas in Brazil, it identifies a strong proximity between Nelson Werneck Sodré and João Cruz Costa. Key words: Story of the Brazilian intelligencia, intellectual story and philosophy in Brazil, national ideas. HistOIRE DES IDEES DANS LES OEUVRES DE Nelson Werneck Sodré eT DE João Cruz Costa: une saga de la conscience nationale Cet article analyse deux oeuvres importantes publiées vers la fin des années 1950. La manière de configurer et de narrer la formation des idées nationalistes au Brésil permet d’identifier l’existence d’une forte proximité entre Nelson Werneck Sodré et João Cruz Costa. Mots-Clés: Histoire de l’intelligence brésilienne, Histoire intellectuelle et philosophique au Brésil, intellectuels et idées nationalistes. Publicação Online do Caderno CRH: http://www.cadernocrh.ufba.br

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.064
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.009
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.057
GPT teacher head0.321
Teacher spread0.264 · 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 designTheoretical or conceptual
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

Citations2
Published2006
Admission routes1
Has abstractyes

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