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Record W2076990191 · doi:10.3828/bhs.81.4.6

No History to Absolve Them: Spanish-American Revolutionary Discourse after 1990

2004· article· en· W2076990191 on OpenAlexaff
Stephen Henighan

Bibliographic record

VenueBulletin of Hispanic Studies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIdeologySacrificeIdeal (ethics)CompromiseLiberalismNationalismHumanitiesHistoryPhilosophyArtPolitical sciencePoliticsLawTheology

Abstract

fetched live from OpenAlex

Identifying 1990 as an historical watershed, this article studies the erosion of the Spanish American revolutionary's reliance on historical references rooted in an implicitly book-based culture as a justification for revolutionary violence. The argument takes as its point of departure Fidel Castro's speech 'La historia me absolverá' and traces how the understanding of history shared by Spanish American revolutionaries of the 1960s promoted an ideal of self-sacrifice. The Nicaraguan Revolution adopted these ideals of discipline, martyrdom and self-denial, but used them to promote a more overtly nationalist revolutionary agenda. Events after 1990 made the ideal of self-sacrifice more difficult to sustain. The article closes with an examination of the attempt of Subcomandante Marcos of the Zapatista movement to reinvent the revolutionary persona in an egalitarian, visually based postmodern culture, finding in Marcos's ideology a deeper compromise with Western liberalism than was visible in the writings of his predecessors.

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)0.004
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.017
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.304
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

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
Published2004
Admission routes1
Has abstractyes

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