E-governance in Eastern and Southern Africa: a Webometric study of the Governments? websites
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
This paper explores the adoption of one of the Information and Communication Technology (ICT) tools, i.e. the Internet and more particularly, the World Wide Web, by Eastern and Southern African governments as a means of facilitating interactions between the state and its citizens. It was observed that most governments in the region have constructed their own Web sites, some of which are up to date. English is the most com-monly used language to prepare the web sites. Other findings include: foreign missions recorded the highest number of web pages followed by political parties; the .com or .co Top Level Domain (TLD) generated most web pages followed by .ac or .edu in each country; most governments provide contact information as op-posed to sitemaps and feedback forms which recorded relatively few postings; governments with few web-pages and large quantities of in-links (including self-links) recorded high Web Impact Factors (WIFs); and only the South African government provided links to other Eastern and Southern African governments. Ethical issues regarding the analyzed variables as well as conclusions and recommendations are provided.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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