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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

The motherhood romanticization works as a means to control the bodies and reproduction in the patriarchal system, making it compulsory: building up the belief that women are only fulfilled after giving birth, also putting the mother's love as a means to exploit the act of caring, something that is not imposed on fathers. Although idealized, real motherhood women complain of exhaustion, solitude and lack of public policies and social support. The feminist movement must face motherhood as fundamental to the movement of freeing women, from the sexual and reproductive rights to the planning and division of tasks and mental overload. Race and social classes are also intertwined, being black women the most common victims of violent acts and their childs victims of violent acts. Contemporary female writers are watchful to these questions and desecrate motherhood in many narratives. This paper has the objective of bringing a feminist reflection about mothering, not faced as something natural and impository to all women, but as a process that involves a series of cultural and political questions, from the reading and discussion of female authors such as Adichie (2017), Collins (2019), hooks (2019 e 2020), Mendonça (2014), D’Ávilla (2019) and Gonzalez (2020) and from a host of narratives from female contemporary authors from Brazil, Canada, Caribbean and African countries like Atwood (2017), Condé (2020), Emecheta (2018), Evaristo (2016), Leite (2004), Luft (2012), Mukasonga (2017), Munro (2014), Ntshingila (2016) and Rezende (2014), which justifies the pertinence of the subject beyond its national borders.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.078
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; both teacher heads agree on what is shown here.

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

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicRace, Identity, and Education in BrazilFrench-language works237,207