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Record W4399217971 · doi:10.18192/rceh.v46i1.6878

Resistance, Protest, and Knowledge: Indigenous Appropriation of Medievalism in Ibero- and Latin America

2024· article· en· W4399217971 on OpenAlexaffvenue
Lauren Beck

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsMount Allison University
Fundersnot available
KeywordsAppropriationMedievalismIndigenousLatin AmericansResistance (ecology)HistorySociologyPolitical scienceLinguisticsAncient historyPhilosophyLawBiologyMiddle Ages

Abstract

fetched live from OpenAlex

Scholars have yet to consider how medievalism offers a potent retreat from the settler-colonial project precisely because the Indigenous Middle Ages excluded Europe, and vice versa, through the mechanism of nonmodernity. By considering how modern Indigenous authors and artists reach to medieval-nonmodern Indigenous and European forms of expression in Ibero-America and Latin America, we theorize how medievalism was and remains a significant tool of resistance throughout the colonial and settler-colonial periods. This approach will allow us to find ways of undermining the modern-colonial matrix of power’s temporality at its intersection with decoloniality.

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)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.024
Scholarly communication0.0090.004
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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
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
Published2024
Admission routes2
Has abstractyes

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