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Record W4302356670 · doi:10.7202/1087900ar

Wine Makes Good Blood

2000· article· en· W4302356670 on OpenAlexvenueaboutno aff
Luisa Del Giudice

Bibliographic record

VenueEthnologies · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsWineAnecdoteWhite WineImmigrationNexus (standard)AestheticsConsciousnessSociologyHistoryArtLiteratureVisual artsArchaeologyPsychology

Abstract

fetched live from OpenAlex

While the author’s past research on Toronto Italians has explored foods place in the domestic and mythic landscapes of immigrants (from the kitchen, garden, and winecellar of home, to the mythic Land of Cockaigne (Paese di Cuccagnd), “a gastronomic utopia,” still embedded in immigrant consciousness, this paper elaborates the wine nexus and explores the meanings of wine— material and symbolic, historic and contemporary — in the culture of predominately first-generation Toronto Italians. It delineates how wine figures in several primary binary oppositions in Italian folk culture, which oppose 1 ) wine to water; 2) wine to bread; 3) blood to body; and 4) the semantics of red vis à vis white. Further, it focusses on how Italian historic and symbolic contexts intersect with this culture through family history, through personal experience and anecdote, and to a lesser extent through direct historic sources. It provides snapshots of how cultural history and personal experience constantly intertwine within the praxis of folk culture.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.996

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)0.0050.000

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 head0.020
GPT teacher head0.224
Teacher spread0.204 · 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.

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
Published2000
Admission routes2
Has abstractyes

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