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Record W2415878095

Gareth and Me: A Petronian Pilgrimage

2006· article· en· W2415878095 on OpenAlexaboutno aff
Barry Baldwin

Bibliographic record

VenueAncient Narrative · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipPilgrimageClassicsPublishingHistoryArtLiteratureLawAncient historyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In the course of honouring Gareth Schmeling's Petronian scholarship, especially his founding and editing of the Petronian Society Newsletter , this essay reconsiders some of the time-honoured, still unresolved questions about Petronius and the Satyrica , notably Ira Priapi as the dominant plot motif, the precise point (comporting an analysis of John Lydus' discussion of ancient satire) and personal targets (if any - Trimalchio/Nero loom large here) of the novel, and (last but not least) the identity and date of the author with special reference to the Tacitean obituary and his absence from Suetonius and company. A concomitant bibliographical survey of modern Petronian scholarship underscores both main and subsidiary issues. Barry Baldwin is Emeritus Professor of Classics, University of Calgary, and Fellow of the Royal Society of Canada. He has lectured and written on Petronius and ancient satire over the last forty years, publishing numerous articles and reviews, including regular contributions to the Petronian Society Newsletter from its inaugural issue to the latest.

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)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.008
Scholarly communication0.0040.002
Open science0.0000.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.016
GPT teacher head0.296
Teacher spread0.280 · 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
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

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