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Record W183479319 · doi:10.2307/41926672

WITNESSING THE REVOLUTION: NORTH AMERICANS IN CUBA IN THE 1960s

2012· article· en· W183479319 on OpenAlexaboutno aff
David Strug

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Political and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsLatin AmericansPopulationEnthusiasmGovernment (linguistics)Social revolutionPolitical scienceEconomic historyGender studiesSociologyHistoryLawPsychologyDemography

Abstract

fetched live from OpenAlex

Cuba sought international help in the 1960s from individuals, organisations, and countries that were sympathetic to the revolution in response to acts of aggression by the US government. We discuss the experiences of one such group of individuals, North Americans from Canada and the United States, who travelled to Cuba in the 1960s to live and work there. We show that the revolution benefited from their support in practical and symbolic ways. It politically socialised North Americans and imbued them with a revolutionary enthusiasm. This enthusiasm was tempered over time by recognition of the revolution's limitations. The story of these North Americans offers an insider perspective on the revolution in its early humanist phase and furthers an understanding of the New Left's views on Cuba in the 1960s. Data come from 28 qualitative interviews with North Americans who lived and worked in Cuba in the 1960s.

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)0.002
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 score0.522
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0390.013
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0020.006
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 head0.316
GPT teacher head0.526
Teacher spread0.210 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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