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Record W7082092560

Multiple Contemporaneities in Peruvian Art as seen through the practices of Dora Panduro Silvano and Claudia Martinez Garay

2025· other· en· W7082092560 on OpenAlexaboutno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2025
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismIndigenousOppressionIdentity (music)State (computer science)Memory workResistance (ecology)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

This major research paper explores contemporary Peruvian art through a decolonial lens to examine how memory and identity are central to histories of colonial oppression and displacement. Drawing on concepts of multiple contemporaneities, creative adaptations, and alternative modernities, I focus on the work of two contemporary Peruvian artists, Dora Panduro Silvano and Claudia Martinez Garay, to explore how each artist embeds in their practice the cultural transmission of memory as distinct sites of resistance and resilience in response to histories of colonialism and state violence. I analyse how the Andean concept of pacha (non-linear space-time) and mestiza identity are central to the hybrid qualities of Claudia Martinez Garay’s artworks, and how Amazonian Indigenous cosmologies are central to Dora Panduro Silvano's artistic practice. The paper concludes with a discussion of how my own positionality as a displaced Indigenous-Peruvian, adopted as a baby and raised in Canada, led to the themes and artists explored in this paper.

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)0.003
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.009
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.052
GPT teacher head0.299
Teacher spread0.248 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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