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.
Bibliographic record
Abstract
Why is political rhetoric broken – and how can it be fixed? Words on Fire returns to the origins of rhetoric to recover the central place of eloquence in political thought. Eloquence, for the orators of classical antiquity, emerged from rhetorical relationships that exposed both speaker and audience to risk. Through close readings of Cicero – and his predecessors, rivals, and successors – political theorist and former speechwriter Rob Goodman tracks the development of this ideal, in which speech is both spontaneous and stylized, and in which the pursuit of eloquence mitigates political inequalities. He goes on to trace the fierce disputes over Ciceronian speech in the modern world through the work of such figures as Burke, Macaulay, Tocqueville, and Schmitt, explaining how rhetorical risk-sharing has broken down. Words on Fire offers a powerful critique of today's political language – and shows how the struggle over the meaning of eloquence has shaped our world.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it