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Record W4211066503 · doi:10.1017/9781108553834.014

Corruption

2020· book-chapter· en· W4211066503 on OpenAlexaff
Oleh Havrylyshyn

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsCarleton University
Fundersnot available
KeywordsPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Pervasive corruption at all levels of society was a common feature for the majority of countries from the start of transition and persists to the present day in many. It is not unique to transition; it is widespread in many developing and some developed countries, and was commonplace in the communist period. However, the same divergence seen in the degree of reform and socioeconomic performance applies to corruption. Most in Central Europe and the Baltics experienced significant reductions in socialist corruption soon after reforms began in 1990, and this improvement continues, with a few like Estonia and Slovenia nearly equalling the best of advanced countries. It is not a mere coincidence that the least corrupt were the most reformed and had the highest degree of democracy. Southeast Europe lagged behind, but even there considerable improvements have taken place, probably under pressure of EU requirements for membership accession. The worst levels persist in the former USSR with the heroic exception of Georgia since its Rose Revolution. It seems that formal political “programs” to combat corruption, even with foreign involvement, are far less effective than a committed effort to complete economic democratic and Rule-of-Law reforms.

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.

How this classification was reachedexpand

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.047
GPT teacher head0.229
Teacher spread0.182 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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