Redefining Governmental Services Through Blockchain and Smart Contracts
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 study explores the potential of blockchain technology to redefine public administration, focusing on the integration of Ethereum, a blockchain platform, and the Interplanetary File System (IPFS) for notarial certification issuance.The core aim is to evaluate the capacity of this technology to augment governmental efficacy, ensure transparency in service provision, decentralize data management, and maintain information integrity.The architectural components of the system comprise Ethereum's smart contracts, Ether, gas, and a decentralized application, supplemented by IPFS as a decentralized file storage system for a secure and transparent certificate issuance mechanism.Scalability assessments indicated efficient processing of multiple transactions per second (TPS), suggesting the system's capability to service a considerable number of simultaneous users.The encryption and decryption performance exhibited by IPFS, particularly for small content sizes of 250 KB and 500 KB, was near-instantaneous.Average times for deployment and execution were recorded as 9 seconds and 6 seconds, respectively.In conclusion, the synergistic integration of Ethereum and IPFS exhibits the potential to significantly transform public administration by augmenting efficiency and transparency in the delivery of citizencentric services.Notably, the incorporation of IPFS for secure file storage and hash transmissions was instrumental in optimizing cost-efficiency.
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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 | 0.000 | 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) | 0.000 | 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