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Rhetoric

2023· book-chapter· en· W4353092764 on OpenAlexaff
Erik Gunderson

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCiceroRhetoricLegitimacyRhetorical questionReciprocity (cultural anthropology)PhilosophyLiteratureEpistemologySociologyArtPolitical scienceLawSocial scienceLinguisticsPolitics

Abstract

fetched live from OpenAlex

Abstract Rhetoric and philosophy are empirically joined for Roman gentlemen. The cultural and intellectual foundations of each are significantly shared. Some may strive to posit heterogeneity and divergence between the domains, but this is a misleading stance and effectively a rhetorical move in its own right. Leading figures cultivate the conjunction between the two. Synergistic moments abound. Philosophical discourse is rhetorically inflected and elaborated. Similarly rhetoric bolsters its own legitimacy by appeals to philosophy. Three brief case studies are offered: Cicero, Seneca, and Apuleius. Cicero argues for a reciprocity between the two. Seneca has a hierarchical pairing where philosophy is dominant. Apuleius’ pairing inverts the ranking.

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)0.002
metaresearch head score (Gemma)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0030.008
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0310.009

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 head0.072
GPT teacher head0.202
Teacher spread0.129 · 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
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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