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Record W4390195808 · doi:10.1080/07409710.2023.2298180

Frozen meat and fish, imperialism, and France in the era of World War One

2023· article· en· W4390195808 on OpenAlexaff
Julia S. Torrie

Bibliographic record

VenueFood and Foodways · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsSt. Thomas University
Fundersnot available
KeywordsInterwar periodFirst world warFish <Actinopterygii>EmpireWorld War IICold warEconomic historyBritish EmpireEconomyPolitical scienceHistoryAncient historyLawEconomicsPoliticsFisheryBiology

Abstract

fetched live from OpenAlex

In the history of industrial freezing in France, World War One is often seen as a watershed. Lacking adequate channels of its own to import frozen meat for soldiers, France became dependent on British supply networks, which later served as a basis for the interwar expansion of French cold chains. However, focusing on the wartime connection to Britain obscures prewar French initiatives to freeze meat and fish notably in the empire. Examining such initiatives, as well as contemporary debates about how to make more animal protein available and whence to draw it, this article emphasizes how imperial freezing initiatives inspired expanded use of freezing in interwar France. Prewar experiments gained little immediate traction and war hindered them in the short term, but in the longer term, they were at least as important as war experiences in shaping the interwar development of frozen food in France.

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 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 score0.869
Threshold uncertainty score0.538

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.204
Teacher spread0.175 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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