The pragma-dialectician’s dilemma: Reply to Garssen and van Laar
Bibliographic record
Abstract
Garssen and van Laar in effect concede our main criticism of the pragma-dialectical approach. The criticism is that the conclusions of arguments can be ‘P-D reasonable’ yet patently unreasonable, epistemically speaking. The concession consists in the claim that the theory “remains restricted to the investigation of standpoints in the light of particular sets of starting points” which are “up to individual disputants to create” and the admission that all the relevant terms of normative appraisal have been redefined. We also discuss their criticisms of the epistemic account of argumentation and argument evaluation and raise some new questions about the approach they defend.
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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 | 0.028 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.011 | 0.023 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.038 | 0.039 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".