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Record W619676515

Slow Food Revolution: A New Culture for Eating and Living

2006· book· en· W619676515 on OpenAlexaboutno aff
Carlo Petrini, Gigi Padovani

Bibliographic record

Venuenot available
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsCharismaGeographyTourismEconomic historyHistoryPolitical scienceEconomyLawArchaeologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Never in the last 15 years has the western world paid so much attention to the quality of food and wine, to typical local products and their protection, and to wine and food tourism. Among the foremost figures of all this, a position in the front row has to go to an international organization - Slow Food - and to its charismatic leader, Carlo (Carlin) Petrini. Slow Food founded in the North-Western small Italian town of Bra in 1986, became a worldwide movement with its 1989 conference in Paris, whose Manifesto proclaimed: Against the flat uniformity of fast food let's rediscover the wealth and aromas of local cuisines. In this book Petrini, recounts the origins and developments of an organization that has grown to have 83,000 members in 45 countries and a flourishing food and wine guidebooks publishing company; has just inaugurated the University of Gastronomic Sciences with bases in Pollenzo and Colorno (Italy); organizes enormously popular events such as the Salone del Gusto Food Fair and the Terra Madre conference in Turin; and the Urban Harvest and New Amsterdam Market every October in New York. Thru direct testimony of several protagonist, the authors also take us in a voyage to discover ethnic delicacies of the world (region by region in Italy, in each country of Europe, as well as in the USA and Canada were Slow Food is trying to save Red Fife wheat, American traditional chesses, wild rice, the oysters of Cape May and the Native American Turkey; in South America, Africa and Asia (including Afghanistan). The book also lists all the Presidia of Slow Food (national teams devoted to the safeguard of specific kinds of endangered foods) and the addresses of all their leaders.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.021
Scholarly communication0.0120.005
Open science0.0010.008
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0070.002

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 head0.020
GPT teacher head0.204
Teacher spread0.184 · 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
GenreOther

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

Citations37
Published2006
Admission routes1
Has abstractyes

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