Bibliographic record
Abstract
Clan Politics and Regime Transition in Central Asia, Kathleen Collins, New York: Cambridge University Press, 2006, pp. 376. The long isolation of Central Asia finally ended with the collapse of the Soviet Union. Five new independent states emerged from the ashes of the Soviet Union, the very first time in history that the peoples of Central Asia gained their own independent states modelled on the modern state. This development caught the world, including Central Asians themselves, by surprise. It changed the geopolitics of the entire Eurasia. In the ensuing years, the Central Asian republics have undergone simultaneous multiple transformations: state building; political regime transformation; and transition from Soviet communism. Thus the new states in Central Asia have provided scholars with new cases of multiple economic and political transitions to study and compare. In recent years, there has been a significant proliferation of English-language publications on Central Asia. Kathleen Collin's book, a comparative historical study of political development in Central Asia, is a major contribution. While its focus is on Kyrgyzstan, Tajikistan and Uzbekistan, it often provides examples from the other two Central Asian republics, namely Turkmenistan and Kazakhstan. It is thoroughly researched and rich in information and details. It also makes a significant contribution to the political science literature on democratization, regime transition and consolidation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".