Pursuing defragmentation at the municipal level: signs of a changing pattern?
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.
Bibliographic record
Abstract
Municipal fragmentation is a real historical issue in Italy but its relevance has been differently perceived over time. With a focus on the municipal unions and amalgamations as the main tools for defragmentation, we will present an overview of the last quarter century (1990–2017) of territorial policy at the local level. The reforms introduced since 2010 marked a step change in this area: in fact, empirical evidence shows that the most recent defragmentation attempts have had a certain success. This article, by maintaining a descriptive approach, will try to answer why the most recent defragmentation policy achieved some results, in contrast to those of the past. Some explanatory factors will be presented by reviewing the stances of the main actors in this policy field and their interaction with national policy-maker goals and approaches as well as with normative elements and external conditions.
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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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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 it