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Record W1515473587 · doi:10.4013/ctc.2015.81.04

Papéis de gênero nas brincadeiras de faz-de-conta de crianças adotadas por casais do mesmo sexo

2015· article· pt· W1515473587 on OpenAlexaff
Elder Cerqueira-Santos, Justin Bourne

Bibliographic record

VenueContextos Clínicos · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

O objetivo deste estudo foi investigar os papéis de gênero durante as brincadeiras de faz-de-conta de crianças adotadas por casais do mesmo sexo. Analisaram-se estereotipia e segregação durante os episódios espontâneos de brincadeira de faz-de-conta. A hipótese geral era de que tanto estereotipia como segregação fossem mais flexíveis para este grupo, considerando o novo contexto familiar. Foram observadas 13 crianças de ambos os sexos (8 meninos e 5 meninas) com idades entre 3 e 7 anos. Nove episódios acima de cinco minutos foram analisados considerando um protocolo que leva em conta a organização social, o uso de objetos, o tipo e os temas de brincadeiras. Foi encontrada segregação por gênero na formação dos grupos de brinquedos, porém pouca estereotipia no desempenho dos papéis. Discutem-se práticas parentais e influências contextuais nas questões de gênero na infância.Palavras-chave: homossexualidade, adoção, brincadeira, gênero.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.194
GPT teacher head0.408
Teacher spread0.215 · 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 designQualitative
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

Citations3
Published2015
Admission routes1
Has abstractyes

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