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Record W4387305858 · doi:10.5117/9789463725750_ch08

Food and Drink Make Relationships

2023· book-chapter· en· W4387305858 on OpenAlexaff
Min Ji Kang

Bibliographic record

VenueAmsterdam University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConsumption (sociology)SociologyPower (physics)Social powerAestheticsGender studiesHumanitiesArtSocial sciencePolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

The literary representations of everyday commensality as signifiers of group culture serve not only to show power and social relations built on shared tastes, but also to uncover how gendered social norms are constructed. This chapter examines the ways in which the notion of commensality shapes the networks of the prostitutes as represented in Spanish early modern fictions, Fernando de Rojas’s Tragicomedia de Calisto y Melibea (1502) and Francisco Delicado’s La Lozana andaluza (1528). I argue that the fictional characters of Celestina and Lozana actively use the exchanges and consumption of food and drink for mutual female support, but also for manipulation of others in pursuit of self-interest.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.977
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 studies0.0010.000
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 head0.060
GPT teacher head0.190
Teacher spread0.130 · 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
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
Published2023
Admission routes1
Has abstractyes

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