The Poverty of Paradigms: Subcultures, Trading Zones and the Case of Liberal Socialism in Interwar International Relations
Why this work is in the frame
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Bibliographic record
Abstract
In a recent article in International Affairs Duncan Bell argued that the work of Peter Galison in the history of science could be usefully applied to the study of the history of International Relations (IR). In this article I take up Bell’s challenge, claiming that Galison’s post-Kuhnian history of science approach can be used both to understand the history of IR and to replace the ultimately confusing notion of ‘paradigm’ in the study of IR theory. Galison’s method of using ‘microhistories’ to explore the workings of ‘subcultures’ in science is applied to the case study of liberal socialism in interwar IR. Through this case I argue that microhistories can help us understand why certain subcultures in IR theory thrive, and others decline. This understanding in turn could help us comprehend the state of currently active subcultures in IR, and give us an alternative to the intellectually unhelpful concept of ‘paradigm’.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it