THE INFLUENCE OF E‐GOVERNMENT ON ADMINISTRATIVE DISCRETION: THE CASE OF LOCAL GOVERNMENTS IN EGYPT
Why this work is in the frame
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Bibliographic record
Abstract
SUMMARY One important but often understudied area of research in public administration is the effect of e‐government on administrative discretion. This article examines e‐government factors that influence administrative discretion through a survey of local governments. The focus of this study is on Egyptian local governments, which are using e‐government to modernise public service delivery. Through a survey of administrative officials in these governments, this study found evidence that e‐government factors of collaboration and organisational change influenced administrative discretion. Other common factors noted in the literature such as size of the local government and demand by citizens for e‐government did not register an effect on administrative discretion. The results of this study imply that local governments should do more to enhance e‐government to reduce administrative discretion, especially in the area of increasing collaboration. Copyright © 2011 John Wiley & Sons, Ltd.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it