Blockchain for Governments: The Case of the Dubai Government
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
Blockchain technology is an innovative technology with the potential of transforming cities by augmenting the building of resilient societies and enabling the emergence of more transparent and accountable governments. To understand the capabilities of blockchain, as well as its impact on the public sector, this study conducted a review of blockchain technology and its implementations by various governments around the globe. E-government evolution is analyzed, based on empirical evidence from a Dubai government entity in the United Arab Emirates (UAE), which has utilized blockchain technology for developing end-user services, relevant to the public sector. Benefits achieved and challenges to overcome in such blockchain-based pilot deployments are discussed. The findings of this study offer new insights for practitioners involved in bringing in innovations for the benefit of society, using blockchain technology. Furthermore, it provides insights into policy actions to be developed to address the future challenges and to improve already existing e-government policies. The results of this research will benefit all blockchain-based pilot deployments by providing guidance and knowledge on this immature yet developing technology.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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