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QUANDO SER MENINA É RUIM: PERCEPÇÕES DE GÊNERO EM CRIANÇAS E ADOLESCENTES

2021· article· pt· W3161333493 on OpenAlex
Lêda Gonçalves de Freitas, Benedito Rodrigues dos Santos, Lúciana da Silva Santos, Eloísa Valéria da Silva

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsicologia & Sociedade · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsUniversity of Victoria
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoMinistério da Ciência, Tecnologia e InovaçãoMinisterio de Economía y CompetitividadCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPsychologySocial psychologySociology

Abstract

fetched live from OpenAlex

Resumo Este artigo é um recorte da pesquisa que analisou as percepções de meninas de 6 a 14 anos sobre os aspectos que facilitam e/ou impedem o desenvolvimento de suas habilidades e a garantia de seus direitos a partir do ambiente familiar, escolar, comunitário e social. O estudo teve abordagem plurimetodológica e abrangeu as cinco regiões do Brasil. Em particular, destaca-se a percepção de meninas a partir do exame das respostas a duas questões. Observou-se que as meninas argumentam os aspectos negativos de gênero a partir de quatro grandes fatores: (a) violência sexual, (b) comportamentos e estética, (c) relação com o corpo e sexualidade e (d) responsabilidades e restrição da liberdade. Em todos eles, os discursos das meninas confirmam o quanto as relações de poder são determinantes nas concepções, representações e práticas de gênero ainda hegemônicas na sociedade.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.117
GPT teacher head0.385
Teacher spread0.268 · 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