Bibliographic record
Abstract
The connection between rhetoric and hegemony leads us back to Kenneth Burke’s work on political critique and the subtle ways discourse shapes political consciousness. This lecture also looks at how Ernesto Laclau connects rhetoric and the theory of articulation; Joseph Nye’s work on soft power; Timothy Borchers’ discourse on the work of rhetorician Dana Cloud; and Robert Ivie’s thoughts on balancing the opposing notions of identification and division. La connexion entre rhétorique et hégémonie nous ramène aux écrits de Kenneth Burke sur la critique politique et les façons subtiles dont le discours forme la conscience politique. Ce cours examine aussi : la manière dont Ernesto Laclau relie la rhétorique et et la théorie de l’articulation; le travail de Joseph Nye sur le soft power (« pouvoir de convaincre »); les réflexions de Timothy Borchers sur l’œuvre du rhétoricien Dana Cloud; et les pensées de Robert Ivie sur l’utilité d’équilibrer les notions opposées d’identification et de division.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".