Post-Rhetoric: A Rhetorical Profile of the Generative Artificial Intelligence Chatbot
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
The generative AI chatbot, as an artificial rhetorical agent participating in the invention and circulation of public discourse, shakes the foundations of rhetorical tenets such as agency, ethos, circulation, and justice; and in doing so, it further isolates rhetoric as amoral, ateleological technē concerned with mere calculated effects and consequences, and may ultimately contribute to a post-rhetoric condition. This article depicts a rhetorical profile of the generative AI chatbot characterized by stochastic rhetoric, which is distinguished from the conventional understanding of rhetoric as (human) conscious and purposeful use of language to induce change. Making a case for the possibility of a post-rhetoric condition, the article considers what it might mean for our conceptualization of ethos, circulation, and justice, and suggests ways of adapting to it.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it