Truth in politics : rhetorical approaches to democratic deliberation in Africa and beyond
Why this work is in the frame
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Bibliographic record
Abstract
Democracy is about competing "truths". This is why "rhetoric"- the study of public deliberation and the training in public debate and argumentation - is part of democracy in development. This volume acclimatizes "rhetoric" to the philosophical scene in South Africa, and more in general in Africa as a whole, and reflects on the emergence of public deliberation in the South African democracy through a reading of the 1995-1998 Truth and Reconciliation Commission (TRC) in terms of Aristotelian rhetoric. Four papers (part 1) tackle, from four different angles, the re-telling of private truths about a public regimen of affairs in front of the TRC. In Part 2, public deliberation and the fashioning of truth are approached from a variety of perspectives, examples and situations of "rhetorical democracy" from elsewhere in Africa (Nigeria) and beyond. Part 3 offers examples of how rhetoric may be brought to bear upon politics in order to understand how dialogue between different levels of agency creates democratic negotiation and, in the process, shapes policy, as for example in the case of the African Renaissance, the land redistribution programme in postapartheid South Africa and the 1991 National Conference of Congo-Brazzaville. The volume closes on a philosophical analysis of the "ethical" dimension inherent to public deliberation as well as to the contest of beliefs, and on an examination of the volume's contents in the light of long-standing concerns of African philosophy and of the journal 'Quest'. Contributors: Charles Calder, Barbara Cassin, Mary Jane Collier, Erik Doxtader, Eugene Garver, Yehoshua Gitay, Lisa Hajjar, Darrin Hicks, Johnson Segun Ige, Abel Kouvouama, Andrea Lollini, Reingard Nethersole, Sanya Osha, Philippe-Joseph Salazar, Lydia Samarbakhsh-Liberge, Wim van Binsbergen, Charles Villa-Vicencio. [ASC Leiden abstract]
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it