MétaCan
Menu
Back to cohort
Record W2278506435 · doi:10.33137/q.i..v27i1.8976

Banquets and Power: Boiardo's <i>Innamorato</i> and the Politics of Gastronomy

2006· article· en· W2278506435 on OpenAlexvenueno aff
Pina Palma

Bibliographic record

VenueQuaderni d italianistica · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsGastronomyPoliticsPower (physics)ArtPolitical scienceHumanitiesLawPhysics

Abstract

fetched live from OpenAlex

Power shapes people's social and political consciousness and, although it rarely reflects a consciousness of self, it is ever mindful of the privileged modes to which it is entitled. It can be displayed through a variety of means, all of which are a deliberate expression and consolidation of grandeur and authority. Foodstuffs as a socio-political metaphor lend itself quite naturally as a tool carving social identity. Aristotle in his Politics (1256a) characterizes the consumption of different foodstuffs in terms of the dissimilar "ways of life" that it produced. The terms of his argument appear inverted in the Renaissance when sophisticated lifestyles were believed to require the consumption of refined food. As we know from extant treatises, the culture and mentality of self-indulgent court life favoured a diet based on rare delicacies elaborately prepared. This type of dietary conventions defined social identity and, by emphasizing cultural divisions and social hierarchy, it effectively conferred a status-building trait to gastronomy. For this reason, the staging of stupendous banquets in Renaissance Italy became another vehicle to express princely power. Through these lavish productions that ensured self-aggrandizement, princes marked social as well as religious events, political alliances, and spe- cial loyalties.

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: none
Teacher disagreement score0.932
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.200
Teacher spread0.192 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueQuaderni d italianisticaSame topicRenaissance Literature and CultureFrench-language works237,207