Caractérisation de la transformation numérique de la participation citoyenne : <i>Application aux collectivités locales tunisiennes</i>
Bibliographic record
Abstract
Cet article explore les caractéristiques de la participation citoyenne électronique (PCÉ) dans les collectivités locales tunisiennes (CLT). Depuis l’adoption du code électoral de 2018, les institutions gouvernementales ont lancé nombre d’initiatives électroniques, en particulier sur les réseaux sociaux. Notre étude de cas multisites menée dans trois terrains d’investigation (cinq CLT, quatre associations de citoyens oeuvrant dans le domaine municipal et trois institutions gouvernementales d’autorité centrale) montre que la conception des initiatives de PCÉ doit prendre en compte six dimensions clés de la PCÉ : les outils digitaux, les domaines, les utilisateurs, les activités des utilisateurs, les niveaux et les facteurs contextuels qui influencent la PCÉ.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".