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Record W4281945548 · doi:10.1017/lar.2022.1

To Whom It Belongs: The Aftermaths of Afrocubanismo and the Power over<i>Lo Negro</i>in Cuban Arts, 1938–1958

2022· article· en· W4281945548 on OpenAlexfundno aff
Cary Aileen García Yero

Bibliographic record

VenueLatin American Research Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaDavid Rockefeller Center for Latin American Studies, Harvard UniversityWeatherhead Center for International Affairs, Harvard UniversityUniversity of TorontoHarvard University
KeywordsAppropriationEliteThe artsPower (physics)Cultural policyWhite (mutation)Subordination (linguistics)ArtSociologyHistoryGender studiesHumanitiesAestheticsPolitical scienceVisual artsPoliticsLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article explores the impact of Afrocubanismo on the development of Cuba’s arts during the 1940s and 1950s. The article follows the discursive output of artists, intellectuals, and cultural policymakers of different racial backgrounds over the deployment oflo negroto constructcubanidad. It argues that, if the 1920s and 1930s experienced a movement towards the construction of a homogeneous mestizo Cuba, the following decades reveal an effort by some artists to desyncretizelo cubano. While some intellectuals constructed notions of authenticity that circumscribed black art to black artists, many white Cuban artists in turn embraced elite Hispanic heritage as their main creative language while valorizing some Afro-Cuban artists’ recreations oflo negro. The article also demonstrates that the scholarly debates about cultural appropriation in recent decades have a long history within the Afro-Cuban community. It shows how Afro-Cuban artists and intellectuals pioneered arguments about the exploitative use oflo negroto make national art and the central role of culture in shaping racial inequality.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.417
Threshold uncertainty score0.830

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.072
GPT teacher head0.402
Teacher spread0.329 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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