Bibliographic record
Abstract
Goodman defends that most maligned aspect of the rhetorical tradition: eloquence. Surely, one would think that eloquence, by its very nature, speaks for itself and quite effectively so, with all the pleasing and persuasive effects of a grand style. Perhaps popular audiences are easily carried along by decorous speech, but Goodman addresses his defense to theorists of politics who tend to greet obvious rhetorical flourish with a deep suspicion of manipulation and deception, or at least of frivolity. On this view, the best thing that can be said about eloquence in its classical form is that it poses no serious threat since the modern advent of mass society and large-scale democracy marks its demise. Goodman forces readers to reconsider the story of the rhetorical tradition's elitist, manipulative, and obsolete character through an engaging, nuanced, and unexpected retelling of Ciceronean eloquence as a tradition that spans the ancient and modern world, one that survives and responds to the challenges of democratic judgment in large polities. Goodman's compelling and insightful book poses an important challenge to theorists of democracy, both contemporary and historical, to take eloquence seriously as an invitation to democratic judgment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.037 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".