MétaCan
Menu
Back to cohort
Record W4415478060 · doi:10.1162/leon.a.2556

Artful Minds, Healing, and Well-Being: Women, Art, Science, and Technology in Latin America, 1970s to the Present

2025· article· en· W4415478060 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLeonardo · 2025
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsLatin AmericansCitizen journalismSelection (genetic algorithm)Latin American studiesFocus (optics)

Abstract

fetched live from OpenAlex

Abstract Conceived as part of a broader recovery of histories of Latin American women working with science and technology, “Artful Minds, Healing and Well-Being: Women, Art, Science, and Technology in Latin America 1970s to the Present” includes a selection of projects that share Leonardo’s focus on topics related to health. Ten artists from five Latin American countries (Mexico, Brazil, Colombia, Argentina, and Chile) represent a sampling of relevant practitioners. The works span fifty years, from the 1970s to the present, and involve various fields and technologies, from sonic, video, computational, and AI arts, to medical technologies and bioart, to technologically aided installations and performances. Created in various formats as solo-authored, collaborative, and participatory works, these projects include diverse physical and virtual environments, from artistic, domestic, scientific, and electronic spaces to urban and rural areas in Latin America and Europe.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.341
Teacher spread0.326 · 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