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The ‘Cuban Spring’ Fallacy: The Current Incarnation of a Persistent Narrative

2013· article· en· W839761569 on OpenAlexaff
Lana Wylie, Lisa M. Glidden

Bibliographic record

VenueInternational Journal of Cuban Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNarrativeFallacyState (computer science)Political sciencePolitical economySociologyHistoryEpistemology

Abstract

fetched live from OpenAlex

This paper explores the role of communications technology in the U.S.-Cuban relationship. It argues that the idea that anti-government dissidents will use the Internet, cell phones, and social media to foment a popular uprising on the island, modelled after the ‘Arab Spring’ is flawed because it fails to take into account the uniqueness of the Cuban situation. The paper then explores how it has become possible for this idea to have gained such traction in certain discourses in the United States. In doing so, the paper considers the history of paternalism and imperial hubris that has dominated U.S. policy toward Cuba, with an emphasis on the relationship during the Castro era. The paper demonstrates that current U.S. policy rests on fallacious assumptions about Cuba, the Cuban state and the relationship between the Cuban state and the Cuban people. The belief in a ‘Cuban Spring’ and in the idea that the United States could engender revolution in Cuba via communications technology is part of this larger narrative.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.375
Teacher spread0.323 · 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 teacher head, 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

Citations2
Published2013
Admission routes1
Has abstractyes

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