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Record W1911339089 · doi:10.1002/pad.1644

DANGER ZONES OF CORRUPTION: HOW MANAGEMENT OF THE MINISTERIAL BUREAUCRACY AFFECTS CORRUPTION RISKS IN POLAND

2013· article· en· W1911339089 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePublic Administration and Development · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsnot available
FundersÉcole nationale d'administration publiqueWorld Bank Group
KeywordsBureaucracyLanguage changeReputationIncentiveHonestyCompetence (human resources)Civil servicePublic administrationPolitical scienceEconomicsBusinessDevelopment economicsLawMarket economyPublic serviceManagement

Abstract

fetched live from OpenAlex

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.519

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 studies0.0000.000
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 head0.068
GPT teacher head0.313
Teacher spread0.245 · 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