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Record W2898471046 · doi:10.16997/book27.p

‘Dynamic’ Obama Lectures ‘Bumbling’ Castro on Race Relations in Cuba , While Wilfully Blind to Black Lives Matter Movement in the US

2018· book-chapter· en· W2898471046 on OpenAlexaff
James Winter

Bibliographic record

VenueUniversity of Westminster Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsRace (biology)Movement (music)Political scienceGenealogyHistorySociologyGender studiesArtAesthetics

Abstract

fetched live from OpenAlex

This chapter studies press coverage of Barack Obama’s visit to Cuba in March, 2016. The study compares the clichés of Cuba in press coverage to academic studies of Cuban realities, from pre-revolutionary days in the 1950s, to the present day. The coverage may be readily seen as part of Noam Chomsky and Ed Herman’s Propaganda Model of news media, relating to a number of the five filters, such as media ownership and profit orientation, the reliance on advertising and pursuant promotion of capitalism, and the anti-communism or ideology filter, which opposes nationalism anywhere other than the U.S. The press coverage of Obama’s visit provided no indication of what Noam Chomsky has identified as the real reason for the embargo against Cuba: the pro-capitalist ‘rotten apple’ or virus theory. That is, if Cuba is allowed to flourish on its own, unimpeded, then the ‘virus’ of socialism could spread to other Central American countries, as indeed it has done in the past decade. One can see here explicitly that this concern and the Cuban example are central to a Chomskyan analysis of international affairs and specifically US foreign policy. Similarly, these results comply with the findings of other contemporary writers such as Chris Hedges, Stephen Kinzer and William Blum.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.941
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.241
Teacher spread0.209 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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