Bibliographic record
Abstract
Contrary to the conventional view that minority regimes are vulnerable to breakdown, many of these regimes exhibit remarkable durability. From 1900 to 2015, minority autocracies that exclude a single majority ethnic group (e.g., regimes in Bahrain, Syria, and Apartheid South Africa) remained in power twice as long as other autocracies. This article argues that this durability is rooted in their unique ethno-political configuration, which enables them to foster a largely unconditional loyalty due to the ruling minority’s fear of being subjected to majoritarian rule. Such loyalty endows them with an exceptional capacity to withstand major challenges by fostering in-group demobilization and policing, pro-regime countermobilization, and coethnic elite loyalty. This article employs a multi-method approach, using a novel dataset of minority regimes and a case study of Bahrain based on original interviews. The findings highlight the conditions under which ethnic group loyalty can play a central role in autocratic survival.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.015 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".