MétaCan
Menu
Back to cohort
Record W2610550784

O que é esta coisa chamada amor : identidade homossexual, educação e currículo

2021· article· pt· W2610550784 on OpenAlexaff
Deborah P. Britzman

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsYork University
Fundersnot available
KeywordsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Os campos dos Estudos Gays e dos Estudos Lésbicos podem propiciar aos/às teóricos/as pós-estruturalistas, feministas e póscolonialistas alguns raros vislumbres sobre o que significa reconhecer a simultaneidade da identidade e sobre como agir no interior dos perigos e dos prazeres da política identitária. Os/as educadores/as teriam muito a ganhar com uma familiaridade com esses campos, não porque isso possibilitaria o acesso a algum distante outro, mas, mais imediatamente, porque a leitura das pesquisas, das representações e das expressões gays e lésbicas poderia obrigálos/as a um renovado olhar para a sua própria e construída sexualidade e a um olhar diferente para aquilo que estrutura a forma como a sexualidade do outro é imaginada. Se a educação e as pedagogias que ela oferece puderem ''navegar as fronteiras culturais" do sexo e se puderem fazê-lo de forma a problematizar e a pluralizar, parte de nosso trabalho, então, deve consistir em repensar a representação e os discursos da identidade, do conhecimento e do poder cultural que circulam nas escolas e no interior do aparato de saber/poder. Isso significa construir pedagogias que envolvam todas as pessoas e que possibilitem que haja menos discursos nonnalizadores dos corpos, dos gêneros, das relações sociais, da afetividade e do amor.

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)0.006
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: none
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.012
Scholarly communication0.0130.007
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.002

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 head0.051
GPT teacher head0.314
Teacher spread0.263 · 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

Citations69
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)Same topicGender, Sexuality, and EducationFrench-language works237,207