Foreign Interventions and Secessionist Movements: The Democratic Factor
Bibliographic record
Abstract
Abstract. This article explores the impact of political regime type on the decision of third states to support secessionist movements abroad. It suggests that democracies share political values, which lead them to oppose their mutual secessionist claims, while autocracies are not bound by this normative consideration. The statistical analysis supports the effect of the democratic factor: democracies rarely support secessionist groups emerging from democratic states. Moreover, it shows that there is no autocratic counterpart to this argument. This research also casts some serious doubts on the ability of conventional explanations—namely vulnerability and ethnic affinities—to explain external support to secessionist movements. Résumé. Cet article analyse l'impact du type de régime politique sur la décision des États tiers d'appuyer des mouvements sécessionnistes à l'étranger. L'étude soutient que les démocraties partagent des valeurs politiques communes qui les mènent à s'opposer aux mouvements indépendantistes qui se manifestent parmi elles, alors que les régimes autocratiques ne sont pas liés par cette considération normative. L'analyse statistique valide l'effet du facteur démocratique : les démocraties appuient rarement les groupes sécessionnistes qui émergent au sein d'autres États démocratiques. Les données démontrent également qu'il n'y a pas d'équivalent autocratique faisant écho au facteur démocratique. L'étude indique en outre que les thèses courantes de la vulnérabilité et du lien ethnique expliquent mal l'appui des États tiers aux groupes sécessionnistes.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".