Leadership in the Context of E-governance: Lessons for Ukraine
Bibliographic record
Abstract
The rapid development of the information society is characterized by implementation of the concept of e-governance that faces a problem of forming an appropriate leadership potential. An idea of e-governance is not so much a technology of democratic governance, but is an initiative aimed at improving lives of ordinary citizens; therefore, its implementation is, of course, linked to leadership at all levels of the social system and public administration. The strategic direction of the State policy towards the process of implementing e-governance consists of formation of leadership potential of civil servants and officials, civil society and business. However, this prominent task of State policy remains insufficiently attended. The purpose of this article is determination of key areas of State policy for building the leadership potential of civil society, business sector and the institution of civil servants and officials in the event of the establishment of e-governance. The article recommends key directions for the development of regional management in the context of e-governance system that faces the problem of its leadership potential. Accordingly, strategic approaches to the management of organizational changes in public authorities related to the implementation of modern information and communication technologies of e-governance are defined in this article.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".