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Tecnologias patriarcais: uma revisão sistemática sobre a alienação parental

2025· article· pt· W4408118127 on OpenAlexaff
Camila Costa Cardeal, Alessandra Abrahão Costa, Lara Maria Alves Falcão, Ludmila Ribeiro

Bibliographic record

VenueRevista Estudos Feministas · 2025
Typearticle
Languagept
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsUniversity of Ottawa
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsPolitical scienceSociologyPsychology

Abstract

fetched live from OpenAlex

Resumo: A proposta deste texto é compreender como a produção acadêmica nacional define e operacionaliza a “alienação parental”. Foi realizada uma revisão sistemática da literatura por meio do método PRISMA, abrangendo 199 publicações sobre o tema até janeiro de 2023. A análise revela que esse dispositivo busca promover uma “tecnologia da não violência” (Patrice SCHUCH, 2013), por meio da intervenção judicial na família. No entanto, essa abordagem tem reverberado (i) no enquadramento de interações familiares como patológicas, (ii) na violência de gênero dirigida a mulheres que não representam o papel de mãe dentro das molduras patriarcais, para além (iii) do esquecimento da criança ou adolescente como sujeito de direitos.

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)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.033
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.022
Science and technology studies0.0070.025
Scholarly communication0.0150.015
Open science0.0020.006
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0110.002

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 head0.070
GPT teacher head0.380
Teacher spread0.310 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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