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Record W6950501803 · doi:10.5281/zenodo.8415183

Motherly and feminist reflections in contemporary narratives written by women

2023· article· en· W6950501803 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRace, Identity, and Education in Brazil
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePoliticsSubject (documents)EmancipationFeminismFace (sociological concept)Natural (archaeology)Black feminism

Abstract

fetched live from OpenAlex

A romantização da maternidade funciona como um meio de controle dos corpos e da reprodução no sistema patriarcal, tornando-a compulsória. Constrói-se a crença de que mulheres só se tornam plenas após terem filhos, também se coloca o amor materno como meio de exploração do cuidar, algo que não se impõe aos pais. Embora costume-se idealizar a maternidade, na maternidade real as mulheres mães queixam-se de exaustão, solidão e carecem de políticas públicas e apoio social. O movimento feminista passa a encarar as pautas maternas como fundamentais no movimento de libertação das mulheres, a militância envolve desde o direito ao planejamento familiar à divisão de tarefas e sobrecarga mental. Também estão atravessadas pelas categorias de raça e classe, sendo as mulheres negras as maiores vítimas de violência e cujos filhos mais são vítimas da violência estatal. Mulheres escritoras da literatura contemporânea estão atentas a essas questões e dessacralizam a maternidade em diversas narrativas. Esse artigo tem como objetivo trazer uma reflexão feminista sobre a maternagem, não encarada como algo natural e impositivo a todas as mulheres, mas como um processo que envolve uma série de questões culturais e políticas, a partir da leitura e discussão de algumas narrativas de autoras contemporâneas.

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)0.005
metaresearch head score (Gemma)0.010
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 score0.015
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0150.024
Scholarly communication0.0100.008
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.078
GPT teacher head0.347
Teacher spread0.269 · 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
Published2023
Admission routes1
Has abstractyes

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