Italy's New Anti-Corruption Law: Factors that Affect Regional Implementation
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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 teacher head, 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".