Bibliographic record
Abstract
Abstract Although the work of E.H. Carr has a prominent place in the scholarly history of international relations (IR), it is notably absent from the discipline of international political economy (IPE). This is puzzling, because Carr's analysis of international politics places a strong emphasis on the organic connection between politics and economics on an international scale. On this reading, his principal publications on IR can also be seen to chart a sophisticated conceptualization of what I want to label historical IPE. This essay retrieves such a reading of Carr for the discipline of IPE. It begins by interrogating the way in which Carr's work has been appropriated by modern IPE scholarship, in order to highlight the limited use made of the political economy dimension of his research. I then explore the historical and political economy aspects of Carr's writings to consider how his contribution might advance recent contemporary theoretical debate in the discipline. I pay particular attention to how his work charts an historical conception of IPE that can synthesize and move beyond the rationalist/constructivist binary that currently dominates theorizing in 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 | 0.007 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.015 | 0.027 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".