Bibliographic record
Abstract
Le présent article dresse un survol de l’évolution de la gouvernance électronique au cours de la dernière décennie, en examinant l’état actuel des stratégies de gouvernement électronique et en posant un regard particulier sur l’évolution du domaine en Europe. Il propose un cadre d’interprétation permettant d’évaluer les valeurs publiques qui servent de fondement à la construction virtuelle des systèmes de gouvernement électronique et établit des fondations tournées vers l’avenir en abordant la question de l’emploi de la gouvernance électronique dans le champ de l’élaboration des politiques, c’est-à-dire la relation entre, d’une part, l’emploi de systèmes de gouvernement électronique afin de favoriser une administration participative basée sur des données probantes et, d’autre part, les processus organisationnels et sociaux qui s’y rattachent. Un aperçu sur les défis politiques que l’avenir pourrait réserver aux gouvernements électroniques et sur les directions que pourrait prendre la recherche dans le domaine clôt l’article.
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 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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".