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Digital Resources: Museo de Mujeres Artistas Mexicanas, MUMA

2020· reference-entry· en· W3134986751 on OpenAlexaff
G Sepúlveda

Bibliographic record

VenueOxford Research Encyclopedia of Latin American History · 2020
Typereference-entry
Languageen
FieldEnvironmental Science
TopicMexican Socioeconomic and Environmental Dynamics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsExhibitionSculptureVisual artsContemporary artPaintingArtArt worldSociologyArt history

Abstract

fetched live from OpenAlex

Abstract The Museum of Mexican Women Artists (MUMA) is a virtual museum dedicated to the promotion of Mexican women in visual arts from the 20th century onward. It was founded by Mexican feminist activist and artist Lucero González (b. 1947), who envisioned it as a feminist digital network for artists, curators, and critics to build connections with initiatives across the country and in other parts of the world. It is currently run by a council of nine women who collectively come together to plan its yearly activities and to invite others to participate. Since 2008, MUMA has hosted a new exhibition every three months by different female curators and artists working mostly on drawing, painting, performance, photography, video, and sculpture. To date, it has organized more than forty online exhibitions and a number of temporary events including exhibitions, reading groups, and public forums across the country. While it has an exclusive focus on women, one of its objectives is to promote intergenerational encounters to discuss the intersections of art and gender and question the binary construction of sexual difference. MUMA is an important addition to the growing resources on the gendered dimensions of art, feminist art, and art curation in Mexico from the 20th century onward. It offers online galleries showcasing artworks by female artists working in Mexico and contemporary theoretical essays on feminist art and curation, as well as reinterpretations of early 20th-century women’s art. Its bilingual (English and Spanish) website showcases the artistic portfolios of more than 350 artists working in Mexico. Each artist portfolio includes a gallery of artworks, an artist’s statement, and a link to a personal artist website. The exhibition section contains image links to each show. Each exhibition can be viewed in a single window and showcases the works in the exhibition along with a curatorial essay. The program section consists of an archive of all the group’s exhibitions, including theoretical texts and events organized chronologically by year since 2008. The website also has an international news section on relevant art and academic activities, a library section with curatorial texts, book excerpts and theoretical essays, and a list of partner organizations and alliances. MUMA offers an email newsletter to its subscribers with information on current exhibitions and direct links to new artists’ portfolios. It has a search engine that allows the user to explore the website via six different categories which can yield results that cross reference texts, news, links, exhibitions, and artist portfolios. Throughout its more than twenty years of existence, MUMA’s hybrid model as a virtual museum and digital archive with a temporary physical presence—and as a collective organization—has significantly amplified the visibility of women artists in Mexico.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.112
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1120.011

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 head0.032
GPT teacher head0.267
Teacher spread0.235 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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