Pragmaticist explorations: C.S. Peirce, the logic of inquiry and international relations
Bibliographic record
Abstract
The philosophical tradition of Pragmatism has recently entered the fray of international relations (IR) debates. Pragmatism has so far been mainly employed in meta-theoretical discussions over the foundations of the discipline, and to address normative and methodological questions characterizing this field of studies. The main sources of inspiration in these discussions have been classic pragmatist writers such as John Dewey and William James. The work of one of the major figures of this tradition, Charles Sanders Peirce, has been by and large neglected in the literature. The claim advanced in this paper is that the application of some of the American philosopher’s key insights, especially those regarding the logic of inquiry, to first order issues in world politics can enrich the current ‘pragmatist turn’ in IR and contribute to the expansion of the theoretical horizons of the discipline.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".