Citizens’ E-Participation at Local Municipal Government in South Africa
Bibliographic record
Abstract
The emergence of the digital revolution has obligated governments all over the world to be more accessible, effective and accountable in the provision of public services.The South Africa government has implemented various Information and Communications Technology (ICT) enabled platforms in engaging citizens in decision-making, a resultant effect of high world E-government Development Index (EGDI) rating for the country.Irrespective of the rating, the citizens have resorted to public violence as a means of communicating about unsatisfactory service delivery issues.The South African government has continued to witness numerous service delivery protests, resulting in destruction of public property, injury and death of innocent citizens.This article therefore evaluates the application of e-participation in government decision-making, using a three-dimensional framework of e-enabling, e-engaging and e-empowering.The findings show that structural challenges exist that limit the achievement of the good intentions of e-participation.The article relies heavily on existing data and focuses at local municipal level, which is considered the closest point of contact between government and citizens.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 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".