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Infância e Interseccionalidade

2023· article· pt· W4388819873 on OpenAlexaff
Maylla Monnik Rodrigues de SousaChaveiro

Bibliographic record

VenueRevista Memorare · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicRace, Identity, and Education in Brazil
Canadian institutionsCentrale des Syndicats du Québec
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este artigo busca relacionar o cabelo crespo e a infância através de uma perspectiva interseccional, utilizando a discussão do filme “Felicidade por um Fio” e da animação curta-metragem “Hair Love”. Em primeiro lugar, foi apresentado o conceito de interseccionalidade e de infância em afroperspectiva. Posteriormente, foram elencadas algumas reflexões sobre as obras: Felicidade por um fio e Hair Love, ressaltando as potencialidades das crianças negras. Buscamos situar a infância como pilar existencial imprescindível para se pensar relações étnico-raciais em diáspora, masculinidades plurais, transgeracionalidade e gênero, vislumbrando novas produções epistemológicas, estéticas e políticas que se distanciem das elaborações subjetivas coloniais. Os saberes de crianças negras que não passaram por procedimentos de alisamentos compulsórios em sua infância são fundamentais para pensar novas perspectivas epistêmicas pluriversais. A valorização da estética de cabelos crespos em crianças negras pode influenciar a descolonização ao romper com o embranquecimento enquanto estratégia de controle de corporeidades negras.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.026
Scholarly communication0.0170.009
Open science0.0010.014
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0230.002

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 head0.066
GPT teacher head0.375
Teacher spread0.309 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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