MétaCan
Menu
Back to cohort

Altering Cooking and Eating Habits during the Romanian Communist Regime by Using Cookbooks

2018· article· en· W2903090411 on OpenAlexvenueno aff
Ina Ghita

Bibliographic record

VenueEncounters in Theory and History of Education · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsCommunismIdeologyRomanianGender equityScarcityCommunist statePolitical scienceSociologyPolitical economyLawSocial scienceEconomicsPoliticsMarket economy

Abstract

fetched live from OpenAlex

This digital project examines the role of a cook book, Sanda Marin’s Carte de Bucate, first published in 1936, as a vehicle for social education in Communist Romania. The book was censored and transformed during the Communist regime as two interconnected phenomena were taking place: the reinforcing of the ideology of the Communist model and an increasing economic crisis that led to scarcity of food. The paper also pays attention to how the language and tone used in the book changed depending on the understanding of gender roles in different decades. In spite of Communist claims of an equal division of responsibilities, procuring of food and cooking was considered a woman’s task. By addressing equal responsibility in the public sphere, not at home, the progress toward gender equity reached after the War was completely erased during communism since women had to work and also be responsible for all domestic duties at home, a situation that has been similar in other eastern European countries to this day.

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)0.002
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0000.001
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 head0.012
GPT teacher head0.229
Teacher spread0.217 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueEncounters in Theory and History of EducationSame topicCulinary Culture and TourismFrench-language works237,207