School empowerment and autonomy in Italian School System
Bibliographic record
Abstract
Decentralization and school empowerment reforms have become popular restructuring initiatives, receiving much attention both in academic publications and in research coming mostly from decentralized states, such as the United States, Canada, Australia, New Zealand and the United Kingdom.\n\nFollowing liberal voices that call for increased local control, it is for some time now that school empowerment initiatives are also sweeping educational systems, which traditionally have featured a highly centralized structure. Decentralization efforts are continually growing, although evidence coming from various centralized countries reveals only limited lasting effects, failing to establish the grounds for solid theoretical generalizations that would support the potential of these restructuring initiatives to promote school autonomy and effectiveness in centralized structures.\n\nThe objective of this book is to fill this gap. The book is a result of an international project exploring the capacity of centralized structures to absorb change initiatives oriented towards school empowerment. In search of common denominators among Mediterranean Basin states which traditionally have featured a highly centralized structure, this book attempts to provide international audiences substantial indicators based on a comparative perspective regarding the infrastructure of centralized educational systems and to present implications in terms of possibilities and constraints for school empowerment reforms.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".