Legal Aspects of Ensuring Security When using Personal Electric Transport in Russia and Abroad
Why this work is in the frame
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Bibliographic record
Abstract
Transport plays a fundamental role in the life of society. The fast pace of life, especially in metropolises and cities, imposes new requirements towards human mobility. With the development of technologies unprecedented transport solutions have become popular. Specifically, in different countries personal electric transport (segway, self-balancing scooter, electric scooter, unicycle etc.) has assumed widespread use. The number of such vehicles is constantly growing. As known, any means of transport presents a hazard. That is why it is important to pay special attention to personal security when using this kind of transport. Based on the analysis of the current Russian and foreign legislations, case materials, scientific sources, the article investigates legal problems of ensuring personal security when using personal electric vehicles. In this respect, the authors consider the issues of ensuring safety of both a driver and a pedestrian, and third parties as well. The conducted legal research has allowed us to make a conclusion on the necessity of improving legislation in the sphere of using personal electric transport. In the authors’ opinion, one should start with statutory recognition of the very notion of “personal electric transport”, which must include characteristic features that allow to differentiate between this particular kind of transport and other vehicles. Nothing but comprehensive legal regulation based on a detailed analysis of possible risks, can prevent personal security hazards when using personal electric transport.
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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