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Record W2905485255 · doi:10.22215/etd/2015-10611

Italy's New Anti-Corruption Law: Factors that Affect Regional Implementation

2015· dissertation· en· W2905485255 on OpenAlexaff
Giovanna Roma

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsCarleton University
FundersRoyal Australasian College of PhysiciansEuropean Commission
KeywordsLanguage changeTransparency (behavior)TechnocracyPolitical sciencePolitical corruptionDemocracyPoliticsGovernment (linguistics)TerrorismPolitical economySurpriseInternational lawAffect (linguistics)Rule of lawDevelopment economicsLawEconomicsSociology

Abstract

fetched live from OpenAlex

Corruption is a central cause of economic, financial, and political risk and instability; depreciated social capital and trust; democratic deficit; and violence and terrorism. It is thus no surprise that as regionalization and the integration of global markets has intensified, the fight against corruption has become an important part of the global policy agenda. This thesis investigates Italy's new Anti-Corruption Law (Legge n. 190/2012)-a law that was passed by Mario Monti's technocratic government in 2012, as part of a series of structural reforms designed to stabilize the Italian economy. This thesis looks at the Anti-Corruption Law from a regional lens. By speaking to Italian academics, jurists, politically-engaged citizens, regional anti-corruption officials, and Transparency International Italia, this thesis evaluates the implementation of the Anti-Corruption Law in two regions and identifies factors that affect its implementation at the regional level.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score1.000

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)0.0060.001

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 head0.119
GPT teacher head0.407
Teacher spread0.288 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

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