Social Reporting in Italian Public Schools in Theory and Practice
Bibliographic record
Abstract
Some of the challenges that schools are currently facing include the stakeholders engagement, the necessity to open schools to the local territory and the need to be accountable for activities and results. The Italian reform of the school system has required schools to overcome their self-referentiality and to make themselves more accountable to stakeholders. The social reporting process can be considered as an effective response to enable schools to become accountable, triggering fruitful stakeholder engagement processes and, at the same time, implementing a management tool. This is an exploratory research paper. It aims to describe, through a questionnaire, the awareness and dissemination degree of social reporting in Public schools located in Southern Italy given the particularities of this area. Frequency percentage and descriptive statistical methods are used to interpret findings. Results show that, although social reporting is well known in theory, it is still under-used by schools in practice.
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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 | 0.038 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.003 | 0.017 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".