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Record W6901503253 · doi:10.60692/t6fvg-fmm09

Margeando artivismos globalizados: nas bordas do Mujeres Al Borde

2015· article· pt· W6901503253 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicGender and Feminist Studies
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsQueerReading (process)The arts

Abstract

fetched live from OpenAlex

Este ensaio aborda as produções artísticas de um coletivo colombiano chamado Mujeres Al Borde e busca descrever algumas de suas atividades e as maneiras como produzem e articulam relações entre arte, ativismo e produção audiovisual, abordando aí gênero, sexualidade e questões étnico-raciais. O trabalho trata das relações transnacionais desse coletivo com um grupo queer ativista estadunidense, Queer Women of Color Media Arts Project, para a criação de seu próprio programa de treinamento cinematográfico, a Escuela Audiovisual Al Borde; reflete sobre as possibilidades de pensarmos sobre ativismo queer no contexto latino-americano; e, por fim, analisa algumas das produções audiovisuais do Mujeres Al Borde, naquilo que compreendem como seu artivismo, neologismo que articula arte e ativismo. Enfocam-se as maneiras pelas quais esses coletivos produzem redes de colaboração transnacionais em contextos geopolíticos globalizados dissidentes, ao mesmo tempo em que buscam, através da relação que criam entre arte e política, promover transformação social e meios de expressão visual para comunidades LGBTQ, cultivando queer artivismos feministas no sul e no norte globais.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0110.006
Scholarly communication0.0140.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.002

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 head0.098
GPT teacher head0.292
Teacher spread0.195 · 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
Published2015
Admission routes1
Has abstractyes

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