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Record W2775881253

Esa “lucecita que se enciende para América”: Fidel Castro en Uruguay, mayo de 1959

2017· article· es· W2775881253 on OpenAlexaboutno aff
Roberto García Ferreira

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicPolitical and Social Dynamics in Chile and Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsImpromptuDelegationGovernment (linguistics)Political scienceScheduleHistoryHumanitiesLibrary scienceLawManagementArt
DOInot available

Abstract

fetched live from OpenAlex

The article describes Fidel Castro's first visit to Uruguay in early May 1959. At that time, the young revolutionary arrived in South America to participate in an international instance in Buenos Aires. It was as part of that tour that had also included before his visit to the United States, Canada, a brief passage through Trinidad and Tobago, Brazil and Argentina, that Castro decided his frantic passage through Uruguay. During the 44 hours that he stayed in the country his schedule was intense: impromptu conference when getting off the plane; Meeting with the Uruguayan chancellor and in the National Council of Government; Television appearance; Visits to sites affected by floods; Speaker at a large public event; And confidential meeting with a student delegation at the hotel where he / she was staying. Nourished from diverse sources - press, diplomatic information from several repositories, etc. -, the article will explore especially those consulted in dependencies of the Intelligence and Liaison Service of the Uruguayan Police, which closely followed what is related to the visit of the Caribbean revolutionary.

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)0.001
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 score0.312
Threshold uncertainty score0.620

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0090.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.330
Teacher spread0.310 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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