Bibliographic record
Abstract
Abstract.Public sector websites are heavily invested in influencing policy outcomes through information provisioning and dissemination. Traditionally e-government research has focused on the internal functions of e-government studying service delivery, horizontal information processing integration and levels of implementation maturity. This paper shifts the analytical focus to external-facing e-government to consider the macro presentation of state-sponsored sites on the Web. To evaluate the external face of Canadian e-government this project measures the web-based impact of public sector websites in virtual policy networks. Virtual policy networks are web-based issues networks containing content on a specific policy topic and connected through hyperlinks. It is argued that government's online nodality in these networks is an indicator of public sector websites' authority and influence on the Web. Résumé.Les sites Internet du secteur public sont fortement consacrés à influencer les résultats des politiques publiques en offrant et en disséminant de l'information. Par le passé, la recherche sur l'e-gouvernement s'est concentrée sur ses fonctions internes, en étudiant la distribution des services, l'intégration horizontale du traitement de l'information et les niveaux de maturité de la mise en œuvre. Cet article déplace la focale analytique vers les fonctions externes de l'e-gouvernement, en considérant une macroprésentation de sites étatiques sur la toile. Afin d'évaluer la dimension externe de l'e-gouvernement canadien, ce projet mesure l'impact Internet de sites du secteur public dans des réseaux virtuels de politiques publiques. Les réseaux virtuels de politiques publiques sont des réseaux Internet traitant de questions particulières; ils contiennent des renseignements sur des questions précises de politiques publiques et sont reliés entre eux par des hyperliens. L'auteure soutient que la nodalité en ligne du gouvernement dans ces réseaux est un indicateur de l'autorité des sites Internet du secteur public et de leur influence sur le reste de la toile.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.019 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.003 |
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".