Bibliographic record
Abstract
This article proposes a way of connecting two levels at which scholars have studied discursive practices from a normative perspective: on the one hand, local transactions-face-to-face arguments or dialogues-and broadly dispersed public debates on the other. To help focus my analysis, I select two representatives of work at these two levels: the pragmadialectical model of critical discussion and Habermas's discourse theory of politicallegal deliberation. The two models confront complementary challenges that arise from gaps between their prescriptions and contexts of actual discourse. In response, I propose a theory of argument cogency that distinguishes three kinds of merit: content, transactional, and public. Normative links between the two levels arise through the ways argument contents spread across multiple transactions in a social space whose structure and composition favor collective reasonableness.
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 | 0.051 | 0.294 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.005 |
| Science and technology studies | 0.006 | 0.025 |
| Scholarly communication | 0.019 | 0.027 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".