IR's <i>Roads to Freedom</i>: Rereading Jean-Paul Sartre's trilogy as an International Relations text
Bibliographic record
Abstract
Abstract Jean-Paul Sartre's trilogy Roads to Freedom is written against the backdrop of the crises between 1938 and 1940 that led to war and the Fall of France. In this article I argue that Roads to Freedom can be read as an IR text, and I concentrate on four areas. First, a refocusing on the international relations of the everyday. Second, the anatomy of a crisis from an existentialist viewpoint that can enrich our understanding of crises. Third how the interactions of the main characters reveal the ‘mediation of estrangement’ at the heart of diplomacy, first explored by Der Derian in his 1987 On Diplomacy . Fourth, it calls into question our emphasis in IR on the centrality of causes to understand a crisis. Rather, Roads to Freedom refocuses our gaze on the diverse effects in everyday IR. The argument of the article is interwoven with my own experiences reading the trilogy for the first time, and how it influenced my decision to study IR.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".