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Metaficção Historiográfica em Desmundo, de Ana Miranda

2022· article· pt· W4310251680 on OpenAlexaff
Gislaine da Silva Feitosa, Ana Carolina Negrão Berlini de Andrade

Bibliographic record

VenueScripta · 2022
Typearticle
Languagept
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Neste trabalho, analisa-se a relação estabelecida entre a História e a Literatura na obra Desmundo. O romance, uma metaficção historiográfica, reconta criticamente um momento histórico da colonização brasileira, mas pela voz dos esquecidos, nesse caso, de mulheres. O objetivo desse artigo é analisar a revisão crítica da história que é operada por meio da perspectiva da narradora-protagonista Oribela, ou seja, a partir da visão de uma figura “excêntrica”. Tendo em vista que apenas o ponto de vista dos portugueses foi apresentado oficialmente na História, a perspectiva de Oribela ajuda a “preencher” as lacunas deixadas pela história oficial. Deste modo, os discursos da narradora-protagonista Oribela ora reproduzem, ora entram em embate com os discursos oficiais, constituindo uma intertextualidade com os enunciados históricos, além de representarem outras vozes ideológicas, fato que edifica a sua própria narração.

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)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.013
Scholarly communication0.0100.008
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.002

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 head0.033
GPT teacher head0.232
Teacher spread0.199 · 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
GenreOther

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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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