Bibliographic record
Abstract
This essay is about figuring “argument as dance” and one way of conceiving how to live or embody argument as such. Concretely, it displays “argument as war” alongside a road in Mississippi after a white man shoots down James Meredith as he asserts his legal right to vote. And it tells “how to” perceive the shooting as dance by turning firstly to the performance of dance figured in the beginnings of rhetoric and then secondly, setting forth demystified methods and strategies of body-speech figuring argument as dance, rather than as war, through performances of Nelson Mandela. More generally, it explores a new meaning or experience of rhetoric by explicitly conjoining two historical times, two geographies, two speakers, enemies and dancers, that are inextricably interconnected. Using a combination of description and analysis, the first is a full display of three photographs picturing argument as war. The whole picture serves as a descriptive compass or guide for making our way analytically through argument as war and into dance language and behavior and their interconnections to argument. The second is a retrospective discussion of the background, dancing/argumentative practices, what is called “blinking on the behalf of the enemy,” of Nelson Mandela. Overall, the strategy of reticulating political times, chronology and political spaces, geography on the one hand, and argument as war and argument as dance on the other hand is to reconcile conflicting measures and to produce a performance practice (of rhetoric) of which there is no canon.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".