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Record W3166781412 · doi:10.25222/larr.944

Socialist Biopolitics: Flesh and Animality in Cuba and Venezuela

2021· article· en· W3166781412 on OpenAlexaff
Magdalena López

Bibliographic record

VenueLatin American Research Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsBiopowerAmbiguityPower (physics)Neoliberalism (international relations)FleshState (computer science)PopulationSociologyAestheticsPoliticsPolitical scienceSocial scienceArtPhilosophyLawBiology

Abstract

fetched live from OpenAlex

Taking as a starting point the ontological differentiation between animal and human as a fundamental mechanism of biopolitical violence, I analyze the ambiguity of the imaginaries of flesh and animality in the contexts of revolutionary Cuba and Venezuela. I demonstrate how the dynamics of power marked by an ontological division between human and not human, often ascribed to neoliberalism, paradoxically operate in socialist regimes. I examine several instances of visual arts, performance, literature, and public demonstrations, to reveal, on the one hand, sacrificial state power over the population’s bodies and, on the other, examples of disobedience against the state.

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)0.002
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 score0.239
Threshold uncertainty score0.476

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0040.008
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
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 head0.132
GPT teacher head0.497
Teacher spread0.365 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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