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.
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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 | 0.027 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 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".