A Validation of a Measurement Based E-Government Portals' Maturity Model
Bibliographic record
Abstract
An e-government portal's maturity model is a set of stages (from basic to advanced ones) that determines the maturity of e-government portals. In fact, these models can be used to provide directions and recommendations for agencies to improve their portals' maturity. However, before choosing a maturity model by any agency, it is important to know to which extent the e-government community agree or disagree with the model. In previous research studies, we have built an e-government portals' maturity model that is based on a best practice model. The aim of this paper is to validate this new model by e-government experts using a survey to prove that the model is valid and reliable. For this purpose, we have described the components of this model, and the previous work that has been done to build it. Based on the results of the survey, our findings show that the new model has proven its validity.
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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".