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Record W4386134398 · doi:10.1080/20549547.2023.2249567

Communist Quality: Dairy Production at the Leningrad Dairy Combine, 1965-1982

2023· article· en· W4386134398 on OpenAlexaff
Donald Morard

Bibliographic record

VenueGlobal Food History · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsProduction (economics)Quality (philosophy)CommunismDairy industryAgricultural scienceBusinessEnvironmental scienceEconomicsPolitical scienceBiologyFood sciencePhysics

Abstract

fetched live from OpenAlex

Throughout the twentieth century, particularly post-WWII, dairy became a staple part of the “modern” diet throughout many parts of the globe due to new technologies in pasteurization and production. Dairy’s significance was felt in the Soviet Union as well, which used food to improve the standard of living and open another avenue of competition with the West. This study makes two main arguments: Soviet dairy and its ideas of quality were modern in their belief in scientific controls and implementation of new technologies but were distinctly Soviet in that state and scientific actors were the ones to define what was quality in dairy production. While consumer concerns were embraced, they were to be rationalized and filtered through the rational actors in the ministries and enterprises. Using quality reports from the Leningrad Dairy Combine and the Soviet Ministry of Meat and Milk Production, along with articles from professional journals from 1965–1982, this study highlights how Soviet officials had to contend with the Brezhnev era’s focus on consumer abundance while ensuring it remained rational. To reconcile these factors, the Soviet Union sought examples of quality dairy products from foreign countries both in the socialist and capitalist blocs while the Leningrad Dairy Combine tried to address subjective factors of quality like color in “tasting commissions” and address the causes of complaints from the ministry and local shops. However, Soviet consumers were never involved in these processes, setting Soviet dairy, and by extension, Soviet modernity apart from other dairy-rich societies in the West.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.714
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.062
GPT teacher head0.321
Teacher spread0.259 · 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
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
Published2023
Admission routes1
Has abstractyes

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