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Ubre Blanca and the Politics of Milk in Socialist Cuba

2019· reference-entry· en· W2943593047 on OpenAlexaboutno aff
Reinaldo Fuñes Monzote

Bibliographic record

VenueOxford Research Encyclopedia of Latin American History · 2019
Typereference-entry
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsMilk productionDiversification (marketing strategy)Political scienceGeographyEconomyAnimal scienceBiologyBusinessEconomicsMarketing

Abstract

fetched live from OpenAlex

Abstract In the summer of 1981 the cow named Ubre Blanca (White Udder), born on Isla de la Juventud (formerly Isla de Pinos) in the southern Cuban archipelago, became headline news for her high milk production. After achieving a national record, in the following months she was the focus of the country’s attention for her fast-track to becoming a world record holder, first in four milkings and later, in January 1982, as highest producer in three milkings, collection of milk in one lactation period, and fat content. For the leader of the Cuban Revolution, Fidel Castro, and scientists from the cattle industry, it was important to emphasize that it was not only a matter of this incredible cow’s personal achievement but also the fruit of many years of effort to reach a radical transformation of the country’s cattle industry, from an emphasis on beef production toward the priority for milk production and diversification of animal protein sources. These politics required major changes in bovine herds from a genetic perspective, starting with major cross-breeding of Holstein cattle, of Canadian origin, with the Cebú, formerly dominant in Cuba, along with the creation of new infrastructure and other changes toward an intensive model of cattle ranching. Therefore, the history of Ubre Blanca is tied to that of the politics aimed at increased production and consumption of dairy products, presented as an achievement of the socialist Cuban model and with aspirations to bring dairy development to tropical areas and Third World countries. Although the ambitious goals announced in the 1960s were never reached, there was an increase in milk production and a general modernization of cattle ranching that, nevertheless, began a prolonged decline starting with the deep economic crisis of the 1990s.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.500
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.016
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.061
GPT teacher head0.346
Teacher spread0.285 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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