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Record W2778081343 · doi:10.12957/matraga.2017.30202

Contornos do espaço autobiográfico: o autorretrato literário em Sergio Kokis

2017· article· pt· W2778081343 on OpenAlexaboutno aff
Luciano Passos Moraes

Bibliographic record

VenueMatraga - Revista do Programa de Pós-Graduação em Letras da UERJ · 2017
Typearticle
Languagept
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Entre as diversas (e controversas) modalidades das escritas de si, o autorretrato literário permanece um terreno pouco explorado te­oricamente. Embora o termo emprestado às artes visuais já integre a escrita literária há muito tempo, sua conceitualização continua escorregadia, sobretudo na literatura contemporânea, em que se observa uma hibridação de diversos subgêneros do autobiográfico. No intuito de contribuir à reflexão acerca da projeção de si nessa categoria da autoescrita, propõe-se no presente trabalho, inicial­mente, uma atualização de ideias de Michel Beaujour, crítico que se debruçou sobre o tema nos anos 1980, em diálogo com as re­centes análises de Robert Dion e Frances Fortier. Tal empreitada oferece base teórica para uma análise de textos autobiográficos do pintor e escritor de origem brasileira radicado no Quebec Sergio Kokis, em especial, da obra L’amour du lointain (2012), autorre­trato literário que tem como mote o mergulho nos bastidores de sua criação ficcional. Extrapolando o exercício da autoanálise, Kokis propõe nesse texto uma revisão das bases de sua escrita romanesca, ao retraçar certos caminhos do vivido para contribuir igualmente à crítica literária e à impressão de sua experiência como leitor e pintor, sem deixar de revelar as inconsistências e contrariedades dos rótulos da escrita autobiográfica. --- DOI: http://dx.doi.org/10.12957/matraga.2017.30202

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.231
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.014
Scholarly communication0.0090.005
Open science0.0010.004
Research integrity0.0010.002
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 head0.133
GPT teacher head0.333
Teacher spread0.200 · 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
Published2017
Admission routes1
Has abstractyes

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