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Record W7036555859

Breed contra Beef. The making of Piedmontese Cattle

2015· book-chapter· en· W7036555859 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Research Information System University of Turin (University of Turin) · 2015
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSustainable Urban and Rural Development
Canadian institutionsnot available
Fundersnot available
KeywordsBreedConsumption (sociology)MileTastePlankQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

In the spring of 2014, one of the authors (Paolo) was visiting the Green Market on Union Square, NYC, one of the most renowned farmers' markets in the United States, performing a direct connection between producers and consumers of food, allegedly alternative to the mass retail channel (Tiemann, 2008), but also promoting what Sharon Zukin terms, from a critical standpoint, 'the consumption of authenticity' (2008).Exactly in the middle of the square, a farmer from Pennsylvania displayed a sign to attract costumers claiming 'Piedmontese Only'.Less than half a mile away, on Madison Square, at Eataly -the sumptuous sanctuary of 'high quality' Italian foodthe sophisticated New York consumer could already purchase a taste of Piedmontese beef at the butcher's counter and at the Manzo restaurant (literally 'beef' in Italian) since the opening of the food mall, on 30 August 2010.The Piedmontese was officially recognized as a cattle breed in the 1850s.Today, it is the first presidium established by Slow Food in 1996 in Bra, Piedmont. 1 Its beef is now well renowned among gastronomists and listed in Michelin starred restaurants (NAPA, 2010, p.6) and it is Eataly's official beef in Italy and the US.But, which is, exactly, the link connecting these moments and places and which establishes a relationship between an apparently endangered cattle breed in the motherland of Slow Food and the sophisticated consumption practices of the world elites in New York City?La Granda, in its twofold role as a socio-cultural and economic actor, provides the most obvious nexus, which articulates the connection between the past

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)0.001
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 score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.002

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 head0.099
GPT teacher head0.289
Teacher spread0.190 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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