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Record W2978814278

INTERSECCIONALIDADE DESFEITA: salvando a interseccionalidade dos estudos feministas sobre interseccionalidade

2018· article· pt· W2978814278 on OpenAlexaff
Sirma Bilge

Bibliographic record

VenueRevista Feminismos · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSociologyHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Este artigo identifica um conjunto de relações de poder dentro dos debates acadêmicos feministas contemporâneos sobre a interseccionalidade que trabalham para "despolitizar a interseccionalidade", neutralizando o potencial crítico da interseccionalidade para uma mudança orientada à justiça social. Num momento em que a interseccionalidade recebeu aclamação internacional sem precedentes nos círculos acadêmicos feministas, um feminismo acadêmico especificamente disciplinar, em sintonia com a economia do conhecimento neoliberal, se envolve com práticas argumentativas que a reenquadram e minam. Este artigo analisa várias tendências específicas de debate que neutralizam o potencial político da interseccionalidade, como o confinamento da interseccionalidade a um exercício acadêmico de contemplação metateórica, bem como um "branqueamento da interseccionalidade" através de afirmações de que a interseccionalidade é "a invenção do feminismo", e requer uma "genealogia mais ampla da interseccionalidade" reformulada.

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)0.014
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0100.052
Scholarly communication0.0160.013
Open science0.0020.015
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.076
GPT teacher head0.372
Teacher spread0.296 · 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 designTheoretical or conceptual
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

Citations15
Published2018
Admission routes1
Has abstractyes

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