Drivers of E-Government Maturity in Two Developing Regions: Focus on Latin America and Sub-Saharan Africa
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 research focuses on the determinants of e-government (E-gov) maturity in two comparable regions of the world i.e. Latin America and Sub-Saharan Africa (LA&SSA). E-gov maturity refers to the growth levels in a country’s online services and its citizens’ online participation in governance. To date, few researchers have focused on the determinants of E-gov maturity in LA&SSA. Given the challenges faced by LA&SSA with regard to the implementations and deployment of technological innovations including E-gov, research such as this current one is needed to enrich insight in such contexts. Building on a prior framework and the modernization theory, the impacts of macro-environmental factors of political, economic, social, and technological dimensions on E-gov maturity in LA&SSA are examined. A 5-year panel data consisting of 160 observations or data points was used for analysis in conjunction with structural equation modeling. The data analysis underscored the pertinence of some of the factors on E-gov maturity in LA&SSA. The implications of the study’s findings for research and policy making are discussed.
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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 | 0.001 |
| Open science | 0.000 | 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