The Universe as an Argument: Argumentative functionâa Peircean orientation
Bibliographic record
Abstract
One of the basic metatheoretical premises of pragma-dialectics is that “Argumentation has the general function of managing the resolution of disagreement.” (p.277) From a Peircean perspective this is at best a partial truth. While it may be correct that in concrete, finite contexts, argumentation may function to manage the resolution of disagreement, in the long run argumentation will tend towards the Truth (in a Peircean pragmatic sense). Using Peirce as my compass, I will take argumentation to refer to the resolution function of thought contingently situated and finitely understood (aimed at the settlement of belief). I will take argument to mean any structure or process which can serve as a real, compelling constraint upon thought in general. I will show that while the particular function of argumentation may be managing the resolution of disagreement, when situated within a Peircean-styled realism (where the universe has the form of an argument), argumentation will tend in the long run toward the Truth (as the end of argumentation in general). I will end by showing that while argumentation may have a resolution function, its real measure and normative standard is growth (epistemic, moral, political and otherwise) rather than resolution per se.
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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 | 0.020 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.044 |
| Scholarly communication | 0.016 | 0.023 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.006 |
| 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".