What Shapes Global Diffusion of e-Government
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Prior research has established the existence of a differential between industrialized and other countries for e-Government diffusion. It attempts to explain this divide by identifying economic and technical variables. At the same time, the role of national governance institutions in e-Government diffusion has been relatively under-theorized and under-studied. The authors posit that, the existing national governance institutions shape the diffusion and assimilation of e-Government in any country via associated institutions in three key sectors: government, private sector and non-governmental organizations. This paper develops and tests a preliminary model of e-Government diffusion using the governance institutional climate as represented via democratic practices, transparency of private sector corporate governance, corruption perception, and the free press. The results indicate that the level of development of national governance institutions can explain the level of e-Government diffusion over and above economic and technical variables. The authors’ research contributes to the literature by providing initial evidence that the existing national governance institutions influence and shape e-Gov diffusion and assimilation beyond the adoption stage.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| 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