Christopher Tindale: Exploring the Cultural Foundations of Rhetoric and Reason
Bibliographic record
Abstract
The interview conducted with Christopher Tindale by Ruth Amossy in this special issue on “Challenging Rhetoric” proposes a survey of Tindale’s innovative work. Developing from Informal Logic to a theory of Rhetorical Argumentation, it eventually leads to an anthropological approach that challenges the Western rhetorical tradition. It assumes that ways of reasoning are culture-dependent and that arguments as reason-giving can take many forms beyond the ones described in the Western tradition. It thus tackles the question of cross-cultural communication in its argumentative dimension. In this framework it presents an “encounter rhetoric” exploring the encounter between people from very different cultures and looking at how a mutual cognitive environment is able, over time, to emerge and allow for argumentation.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.039 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".