Retórica e interdisciplinaridade: uma conversa com Christopher Tindale
Bibliographic record
Abstract
Nesta entrevista, mergulhamos na carreira do Professor Christopher Tindale, desde os seus anos de doutorado, passando pelo seu trabalho na Universidade de Trent, até seu convite para se juntar ao Centre for Research in Reasoning, Argumentation and Rhetoric (CRRAR) da Universidade de Windsor, onde trabalha atualmente. Falamos sobre sua experiência no CRARR e da sua interação com outros importantes estudiosos da argumentação, bem como sobre o papel que o Centro desempenha atualmente na formação de pesquisadores em argumentação. O nosso foco, no entanto, é o trabalho do Professor Tindale sobre a teoria da argumentação. Discutimos a história e a concepção de alguns de seus livros, assim como algumas das ideias mais importantes desenvolvidas neles. Nesse processo, os leitores conhecerão a perspectiva de Tindale sobre Retórica, auditório, falácia, pensamento crítico e antropologia da argumentação.
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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 | 0.018 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.020 |
| Scholarly communication | 0.011 | 0.021 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.008 | 0.022 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".