A Participatory Governance Model Towards the Inclusion of Ethnic Minorities. An Action Research Experience in Italy
Bibliographic record
Abstract
Les objectifs de cet article sont de deux ordres : d’une part identifier un modèle de gouvernance participative capable de répondre à l’objectif de l’inclusion des groupes marginalisés et exclus ; d’autre part expliquer comment et dans quelle mesure la participation de certaines individus, appartenant à des groupes sociaux exclus, peut effectivement améliorer la conception des politiques concernant les questions cruciales pour eux-mêmes et pour la société dans son ensemble. Après un examen critique des concepts tels que « gouvernance » et « gouvernance participative », l’article présente les points forts et les limites d’un modèle de gouvernance participative, appliquée en Italie entre 2009 et 2010, qui a vu la participation des Roms – l’un des groupes les plus exclus dans l’Europe – dans le cade des initiatives et programmes qui s’adressent à eux. L’avantage de ce modèle est la participation effective des bénéficiaires dans la planification des programmes qui les touchent.
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 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 | 0.005 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".