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Record W4391417678 · doi:10.54563/eugesta.479

Tiberius on Capri and the Limits of Roman Sex Culture

2018· article· en· W4391417678 on OpenAlexaff
Bill Gladhill

Bibliographic record

VenueEugesta · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsHistoryArt

Abstract

fetched live from OpenAlex

This paper examines Suetonius’ representation of Tiberius and sex on Capri at Vita Tiberii 43-44. Many of the features of Suetonius’ narrative move through normative elements of Roman sex culture: brothels and prostitutes, sex manuals, erotic paintings in domestic spaces, pederasty and elite garden spaces. But each element is reconstituted as something dehumanizing and dangerous in Suetonius’ telling. Tiberius constructs a radical sexuality, in which the closer an individual orbits the emperor, the more Roman notions of sex become deconstructed, atomized and reassembled in ways that expose a destructive and dangerous pathology. Nearly every structuring category that might delineate and demarcate Roman sexuality is distorted, obscured and blurred. Bodies are controlled and transformed. New functions and constructions of human embodiment are conceived. States of being become iterative replications of images imprinted in paint or on stone. Children become “bracelet workers”, little fishes or hybrid, hooved deities or woodland goddesses. Normative stages and transitions of human development are obliterated and replaced by an assemblage of activity that orbits the sexual organs of the emperor. Tiberius transforms traditional Roman sex culture and assembles an admixture of extreme and complex performances of a particularly disruptive and corrosive sexuality that confounds categories and frameworks.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.017
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.326
Teacher spread0.291 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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