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Record W2613300120 · doi:10.22215/cjers.v8i1.2481

Civil Service Reform in Transition: A Case Study of Russia

2013· article· en· W2613300120 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of European and Russian Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBureaucracyPresidencyPublic administrationElitePoliticsCivil servicePolitical sciencePublic serviceState (computer science)CommunismGovernment (linguistics)Law

Abstract

fetched live from OpenAlex

Public administrative and civil service reforms have widely been used as a popular strategy to bring about systemic changes in entrenched bureaucracies. The general tendency that occurred in Post-Communist states was to adopt comprehensive policy measures dealing with the efficiency and effectiveness of state apparatus. This paper examines the process of an attempted civil service reform in Russia starting from the first term of Putin's Presidency. Based upon interviews with experts and senior public officials, it elaborates on the role of leadership, or the willingness of the national political elite to improve the system of public administration; the impact of path-dependency upon the course of institutional transformation; and finally, the role of reform strategy in the policy implementation process. The article concludes that the case of civil service reform in Russia may be explained by a combination of policy-making variables listed above. In addition, it highlights the transformation of the Russian policy-making system during the years of political centralization.
 Full text available at: https://doi.org/10.22215/rera.v8i1.222

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.063
GPT teacher head0.318
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it