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Record W2625806204 · doi:10.14483/21450706.11903

Curar saberes difíciles. arte y curaduría en contextos violentos: el caso Ayotzinapa

2017· article· es· W2625806204 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCalle 14 revista de investigación en el campo del arte · 2017
Typearticle
Languagees
FieldArts and Humanities
TopicPhotographic and Visual Arts
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Bajo la premisa de conceptos como “saberes difíciles” y “sueño curatorial”, de Erica Lehrer y otras académicas, este artículo documenta la curaduría de una exposición artística en torno a estudiantes de Ayotzinapa, México, muertos o desaparecidos en 2014. Debido en parte al seminario en que fue diseñado y en parte a circunstancias sociales en México y Canadá, este proyecto curatorial no se concretó. Sin embargo, este artículo propone analizar la distribución de conocimiento en torno a eventos pasados traumáticos y polémicos, así como acercarse a la curaduría como un proceso continuo sin final predeterminado. Incluye reflexiones con temas afines a Colombia y Québec (dos sociedades con las que el autor busca dialogar), como son el papel del arte en la resolución de conflictos sociales, la agencia de los movimientos estudiantiles y la defensa del derecho a disentir

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0040.004
Scholarly communication0.0050.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.036
GPT teacher head0.318
Teacher spread0.281 · 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