Bureaucratic reform and Russian transition: the puzzles of policy-making process
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract During the two decades of post-Soviet transition, Russia has created a complex system of civil service and public administration. This system was first reformed in the early 1990s and then again in the early 2000s. The analysis presented here fills a gap in the existing literature concerning the dynamic of change associated with Russian civil service reform (CSR). It is argued that the process of bureaucratic modernization in Russia is undermined by the ambivalent nature of policy leadership with its financial, administrative, and technical support, and the ongoing bargain among policy advocates and policy implementers. In order to account for the outcomes reached by policy-makers, the paper presents a detailed analysis of expert interviews collected by the author among research community specialists, federal legislators, and other participants in the reform. The discussion highlights the importance of power dynamics, which resolves conflicting views of CSR among policy formulators and policy implementers. The findings, which consist of identifying necessary and sufficient conditions of the change process, have implications for studies of modern Russian politics, states in regime transition, and world-wide modernization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it