Conceptualizing Electronic Governance Education
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
Responding to the issues of complexity, relevance, cost and risk of Electronic Governance (EGOV), we witness a specialization of the roles responsible for EGOV development and operation, professionalizationof the personnel playing such roles, and utilization of the EGOV services and information to fulfill citizen needs. In order to build competencies required by such(managerial, professional, technician and user) roles, education becomes a key success factor, and a growing variety of EGOV learning opportunities emerges. However, lacking conceptual underpinnings for EGO education, the discovery, analysis and integration of such opportunities is difficult. To address this need, the paper develops a theoretical construct for EGO education, applies six measures to this construct: who-- learners, why -- roles, what -- competencies, how --programs, where -- schools, and when -- prerequisites, and validates it through a landscaping exercise focusing on EGOV university programs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.003 | 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