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Record W2603723444

Ciudades letradas posconcretas: conciencia tóxica en tres poetas posconcretos brasileños

2010· article· es· W2603723444 on OpenAlexaff
Odile Cisneros

Bibliographic record

VenueEstudios. Revista de investigaciones literarias y culturales · 2010
Typearticle
Languagees
FieldArts and Humanities
TopicLiterature, Culture, and Aesthetics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Una constante en la poesia de las vanguardias latinoamericanas y en el modernismo brasileno (Fervor de Buenos Aires de jorge Luis Borges, Urbe de Manuel Maples arce, Pauliceia Desvairada de Mario de andrade, etc.) es la ciudad, esta es tematizada y representada a traves de un nuevo lenguaje que la convierte en icono de la modernidad (como, por ejemplo, el celebre poema cidade de augusto de campos). asi, en el Brasil, durante el concretismo la ciudad se vuelve un simbolo de esperanza en un futuro mejor basado en el desarrollo urbano. en el momento posconcreto, tal optimismo se transforma, por el contrario, en dudas, escepticismo y hasta pesimismo en relacion tanto al lenguaje poetico, como al tema de la ciudad como generadora de una sociedad mas justa. Pobreza, violencia y desastre ecologico pueblan las ciudades de la poesia posconcreta de Haroldo de campos(“cubatao”), Frederico Barbosa (Contracorrente) y regis Bonvicino (Pagina Orfa), entre otros. el presente ensayo analiza los cambios en la representacion poetica de la ciudad y el surgimiento de una “conciencia toxica” en relacion al medio ambiente urbano en esos tres poetas del momento posconcreto

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)0.001
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: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.583

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.247
Teacher spread0.230 · 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
Published2010
Admission routes1
Has abstractyes

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