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Record W3108668142

Wit and Persuasion in Philosophic Courtiership

2020· article· en· W3108668142 on OpenAlexaff
Ryan McKinnell

Bibliographic record

VenueThe Political Science Reviewer · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPersuasionRhetoricRhetorical questionPoliticsHatredContext (archaeology)Power (physics)LiteraturePhilosophyEpistemologySociologyPolitical scienceLawArtLinguisticsHistory
DOInot available

Abstract

fetched live from OpenAlex

Despite voluminous ethical writings, the Senecean corpus consists of only two explicit works of political theory, the Apocolocyntosis and De Clementia, which both take both the form of public addresses and relate directly to Seneca’s role as amicus principis. Thus, both the content and the context of these writings represent unique examples of the different rhetorical strategies applied by the philosophic courtier to fulfil their political intention. This essay explores the satirical rhetoric of Seneca’s Apocolocyntosis, with the intention of examining how the farce and obscenity of the satire demonstrates a distinct form of political persuasion. In presenting the deceased Claudius as a bestial, ignoble figure, the satire seeks to impress upon Nero that a similar abuse of power would deny him the adulation he craved and instead earn him hatred and ridicule. Seneca’s Apocolocyntosis therefore offers an inlet for exploring how political satire can serve as a persuasive hortatory speech in reverse and allows us to judge the effectiveness of  witty rhetoric for inducing political change.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.044
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.130
GPT teacher head0.380
Teacher spread0.250 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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Same venueThe Political Science ReviewerSame topicClassical Antiquity StudiesFrench-language works237,207