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Record W4380248681 · doi:10.1525/gfc.2023.23.2.109

Review: <i>A Short History of Spaghetti with Tomato Sauce</i>, by Massimo Montanari, translated by Gregory Conti

2023· article· en· W4380248681 on OpenAlexaff
Rosaria Moretti

Bibliographic record

VenueGastronomica The Journal of Food and Culture · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsYork University
Fundersnot available
KeywordsIconCitationDownloadArtArt historyHistoryComputer scienceLibrary scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Book Review| May 01 2023 Review: A Short History of Spaghetti with Tomato Sauce, by Massimo Montanari, translated by Gregory Conti A Short History of Spaghetti with Tomato Sauce, Massimo Montanari, translated by Gregory Conti, New York: Europa Editions, 2021 128 pp. Illustrations. $18.00 (hardcover); $14.99 (paper); (eBook) Rosaria Moretti Rosaria Moretti York University Search for other works by this author on: This Site PubMed Google Scholar Gastronomica (2023) 23 (2): 109–110. https://doi.org/10.1525/gfc.2023.23.2.109 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Rosaria Moretti; Review: A Short History of Spaghetti with Tomato Sauce, by Massimo Montanari, translated by Gregory Conti. Gastronomica 1 May 2023; 23 (2): 109–110. doi: https://doi.org/10.1525/gfc.2023.23.2.109 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentGastronomica Search Massimo Montanari’s A Short History of Spaghetti with Tomato Sauce offers an insightful, informative, and entertaining discussion on the numerous encounters that influence a particular recipe over time. Spaghetti with tomato sauce is a perfect example of a popular dish that took centuries to evolve into the ubiquitous meal it is today. In this slim book, Montanari attempts to prove his argument in twenty-three short but detailed chapters dedicated to each element of the humble dish. Drawing evidence from the ancient, medieval, and modern sources, he calls into question terms like “origins,” “roots,” and “identity” as perilous words that are restrictive and do not reflect the material reality of food. Food products and recipes tended to change as people moved, found new food sources, and experimented with new flavors and trends. Montanari gets to the core of his argument in the first two chapters. Referencing Marc Bloch’s theory of the... You do not currently have access to this content.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.218

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 head0.009
GPT teacher head0.179
Teacher spread0.169 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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