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Record W2940952508 · doi:10.1177/1474885119843116

“I tremble with my whole heart”: Cicero on the anxieties of eloquence

2019· article· en· W2940952508 on OpenAlex
Rob Goodman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Political Theory · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsMcGill University
FundersUniversity of Glasgow
KeywordsCiceroRhetoricRhetorical questionPersuasionEthosAestheticsPhilosophyLiteratureEpistemologySociologyArtLinguistics

Abstract

fetched live from OpenAlex

Cicero’s rhetorical theory offers an important critique of efforts to systematize persuasion. His resistance to this systematization is grounded in his reconception of the orator’s virtus, which, amidst the crisis of the late Roman Republic, he reimagines as a capacity to endure risk in confrontation with an unruly public. In order to stress this risk, he must at the same time valorize the uncertainties of language: the absence of predictable, manipulable links between speech and audience response. Because this model of eloquence implies that the rhetorical audience cannot and should not be systematized, it places surprising pressures on Cicero’s elitism. This article examines Cicero’s antipathy toward the routinization of rhetoric, contrasts it with the more rationalized model of speech in De analogia, Julius Caesar’s fragmentary work on style, and considers how Cicero’s stress on the autonomy of the rhetorical audience can be recovered as a resource for democratic theory.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.027
GPT teacher head0.285
Teacher spread0.258 · 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