DANGER ZONES OF CORRUPTION: HOW MANAGEMENT OF THE MINISTERIAL BUREAUCRACY AFFECTS CORRUPTION RISKS IN POLAND
Bibliographic record
Abstract
SUMMARY This article examines the relationship between management of the ministerial bureaucracy and the risk of high‐level corruption in Poland. Four danger zones of corruption in the ministerial bureaucracy are distinguished, comprising the personalisation of appointments, the emergence of multiple dependencies, the screening capacity of the personnel system and the incentive of bureaucrats to develop a reputation of honesty and competence. Empirically, the article investigates the case of Poland from 1997 until 2007 and sets the findings in a comparative East Central European perspective. The article shows that corruption risks in the ministerial bureaucracy increased in most but not all danger zones after 2001 and, in particular, during the period of the centre‐right governments that were in office between 2005 and 2007. The increase in corruption risks is reflected in Poland's deteriorating corruption record during the same period. The conclusion discusses the findings with regard to alternative causes of corruption and the relationship between civil service professionalisation and corruption in other East Central European countries. Copyright © 2013 John Wiley & Sons, Ltd.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".