Interlocuting classical realism and critical theory: Negotiating ‘divides’ in international relations theory
Bibliographic record
Abstract
The history of the discipline of International Relations is usually narrated as a succession of theories that would pursue different ontologies and epistemologies and focus on different problems. This narrative provides some structure to a multifaceted field and its diverse discussions. However, it is also highly problematic as it ignores common problems, intersections and mutual inspirations and overemphasizes divides over eventual commonalities. Rather than such overemphasis, we suggest instead negotiating between ‘IR theories’ and elaborating their shared foci and philosophies of science in order to provide new perspectives on and approaches to international politics. We here negotiate between the two theoretical movements of classical realism and critical theories that are typically treated as opposites, yet which nonetheless are characterized by shared concerns about political and social crises, modernity and humanity.
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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 | 0.032 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.011 | 0.118 |
| Scholarly communication | 0.018 | 0.030 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".