Exploring the paradox of autonomy: federalism and secession in North America
Bibliographic record
Abstract
Many social scientists have recommended autonomy as a cure-all for territorially-based intrastate conflict. Lately, however, social scientists have begun to explore the possibility that autonomy may actually contribute to, rather than ameliorate, intrastate conflict by creating new opportunities for conflict and providing state-like institutions through which regional groups in conflict are able to pursue secession. This article fills a gap in the recent literature by specifying the dynamic interaction between autonomy and secessionism. Federalism – a common form of autonomy – provides groups in conflict with state-like institutions that provide crucial short-cuts on the path to secession, not the least of which is that these state-like institutions will hold over into independence. This article explores the dynamic of federalism and secession through an analysis of the secession movements that have developed in the United States and Canada. The article demonstrates that autonomy may actually contribute to, rather than resolve, secessionism and secessionist conflict.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".