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Record W2620430621 · doi:10.5539/ies.v10n6p1

Body, Gender, and Sexualities Approaches in the Political-Pedagogical Project in a High School in Brazil

2017· article· en· W2620430621 on OpenAlexvenueno aff
Danilo Araújo de Oliveira, Maria Helena Santana Cruz, Simone Silveira Amorim

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualitySociologyPoliticsPerspective (graphical)Gender studiesSexuality educationPedagogySex educationPolitical science

Abstract

fetched live from OpenAlex

The aim of this text is to analyse how the themes of body, gender and sexuality have been positioned in the Political-Pedagogical Project, a document that provides guidelines for all educational actions in a school, in a public state school located in the city of Aracaju (SE). We have adopted a post-critical and post-structuralist perspective, problematizing the processes of signification and how they influence the knowledge production and social relations, from the authors’ readings: Carvalho (2010), Foucault (1988), Louro (2010), Scott (1995), Butler (2010). Methodologically, we have developed a quantitative approach, from the documental analysis in a cultural and social perspective. We have verified that body, gender and sexuality themes are introduced superficially, causing to be linked to lack of familiarity, as well as to the absence of initial and continued education formation of the school agents.

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)0.004
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.012
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.578
GPT teacher head0.552
Teacher spread0.026 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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