Organizational Requirements for Building Up National E-Government Infrastructures in Federal Settings
Bibliographic record
Abstract
The present paper focuses on the interplay between the organizational dimension of e-government and the development of national e-government infrastructures. The discussion is aimed at clarifying whether and how a decentralized vs. central development of re-usable basic services raises different requirements with regard to establishing inter-organizational arrangements and coordination. Current challenges in the development of decentralized, federal Switzerland are compared to other federal and non-federal countries, based on document analysis and interviews with e-government experts in Switzerland, selected European countries and Canada. Against this background, an organizational framework is developed that is aimed at overcoming common obstacles for developing an integrated e-government approach across national tiers in Switzerland. The cross-country comparison reveals considerable similarity regarding pressing challenges. The framework may therefore be suited as a theoretical model for further analyses on the guidance, design and governance of e-government infrastructures. Practitioners might apply it as an analytical tool.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.005 | 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".