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Record W4392480767 · doi:10.30973/esdi.2022.8.1/7

Artivismo: disputa estético-política por la memoria colectiva

2022· article· es· W4392480767 on OpenAlexaff
Melina Amao Ceniceros

Bibliographic record

VenueEstudios del Discurso · 2022
Typearticle
Languagees
FieldHealth Professions
TopicHistory, Culture, and Society
Canadian institutionsCegep de La Pocatiere
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

El objetivo de este artículo es analizar, con base en la teoría bourdieuana, el cruce de dos campos: el arte y el activismo. Esto, para dar cuenta de la emergencia de un campo a identificar como artivismo, el cual visibiliza la compleja relación entre estética y política. Para el análisis, se hace una revisión de propuestas y discursividades de artivistas contemporánexs de México que se posicionan desde una perspectiva feminista, queer y/o decolonial; se problematiza el lugar que ocupa el cuerpo en ciertas prácticas a analizarse como artivistas, y se reconoce la importancia del espacio público para emprender acciones micropolíticas. Finalmente, se concluye que el artivismo es en sí mismo un campo antipatriarcal, anticapitalista y antirracista.

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)0.008
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 score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.007
Scholarly communication0.0100.004
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0220.003

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 head0.027
GPT teacher head0.347
Teacher spread0.320 · 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
Published2022
Admission routes1
Has abstractyes

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