E-Governement, Democratic Governance and Integrative Prospects for Developing Countries
Bibliographic record
Abstract
The objectives of this chapter are threefold: first, to first provide a conceptual framework for understanding e-government as a set of four, interrelated dimensions of public sector change; secondly, to consider the relevance and applicability of this framework for both developed and developing nations; and thirdly, to explore the interface between domestic and transnational governance reforms in an increasingly digital era. The world in the twenty-first century needs a globally federated governance architecture, the design of which must include social, economic, political and technological considerations. This strengthened focus on transnational governance systems must also be joined by the recognition of the dysfunctional nature of the present system of bilateral international assistance programs among countries. With improved governance conditions of transparency and trust transnationally – facilitated in part by a much more politically creative and aggressive use of new technologies, the resources allocated by each country across their various recipients would serve both developing nations and the world as a whole if they were pooled and coordinated through new transnational mechanisms.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".