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Record W3045667063 · doi:10.12957/abusoes.2020.47720

O GÓTICO E O DISTÓPICO SE ENTRELAÇAM: SEXUALIDADE E O CONTROLE DO CORPO FEMININO EM O CONTO DA AIA E OS TESTAMENTOS DE MARGARET ATWOOD

2020· article· pt· W3045667063 on OpenAlexaff
Alice de Araujo Nascimento Pereira

Bibliographic record

VenueAbusões · 2020
Typearticle
Languagept
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Resumo: O gótico é muitas vezes tido como um gênero escapista e sentimental, com seus castelos mal assombrados, fantasmas e donzelas em perigo. No entanto ele reflete dilemas morais e políticas de momentos históricos específicos: as convulsões pós Revolução Francesa e as transformações sociais do período Vitoriano. Essas narrativas exploram os medos profundos da psique humana, problematizam as relações com o passado, investigam a fragmentação da identidade e questionam relações de poder. Ao longo do século XX, o gótico retornou intertextualmente, para novamente negociar ansiedades contemporâneas, diluído muitas vezes em outros gêneros e diversas mídias. Outro gênero que lida com questões similares é a distopia. Os romances O conto da aia e Os testamentos de Margaret Atwood são distopias em que há um regime autoritário teocrático cristão cujo foco central é o domínio do corpo feminino e o controle da reprodução e da sexualidade. Tais questões também eram centrais na literatura gótica. Nesse artigo pretendemos identificar e analisar os elementos do gótico nas obras de Atwood e compreender como a distopia e o gótico dialogam entre si e revelam críticas ao real

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 score0.022
Threshold uncertainty score0.044

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 studies0.0080.008
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
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 head0.051
GPT teacher head0.259
Teacher spread0.208 · 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
Published2020
Admission routes1
Has abstractyes

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