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Record W4322705569 · doi:10.1525/gfc.2023.23.1.100

From Panocha to Fudge

2023· article· en· W4322705569 on OpenAlexaff
Patrick Charbonneau, Jeffrey M. Pilcher

Bibliographic record

VenueGastronomica The Journal of Food and Culture · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsThe Scarborough Hospital
FundersDivision of Materials ResearchNational Science Foundation
KeywordsVernacularSugarRefining (metallurgy)MemoirConvenience foodArtArt historyFood scienceLiteratureChemistry

Abstract

fetched live from OpenAlex

Although the origins of the popular candy called fudge have been traced to American industrial processed foods of the 1880s, an early version known as panochita de leche was made in eighteenth-century Mexico using only rustic brown sugar and milk. The authors of this article combined the methodologies of physical chemistry and food history to examine the development of this dish using the science of sugar refining as well as manuscript and published cookbook recipes, memoirs, and travel accounts. Given the lack of Old World confectionery antecedents to the key technique of whisking the cooling sugar to induce crystallization, they attribute panochita to vernacular Mexican traditions of sugar refining and candy making.

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 score0.681
Threshold uncertainty score0.113

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 studies0.0000.000
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 head0.014
GPT teacher head0.202
Teacher spread0.187 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

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