Increasing Danger of Hybrid Vehicles: Perspectives and Issues on the Development of the Quiet Hybrid Automobile
Bibliographic record
Abstract
Pedestrian safety is of utmost importance to all members of the public who use city sidewalks, attempt to enter shopping malls, or cross busy intersections. It is also a basic human rights issue. This paper is intended to increase awareness of the dangers of the quiet, hybrid automobile, foster dialogue among major stakeholders, and discuss several issues and possible solutions to this growing menace on our streets. The perspectives presented are drawn from a variety of sources, both personal communications and published sources. The author lives in Toronto, Ontario, and he has been blind for the majority of his 58 years. The author navigates around Toronto on subways, buses, streetcars and on foot. He also travels regularly to other cities in Canada, and has visited 24 countries on five continents. Safe and independent travel is vitally important to me and all other pedestrians. Today city streets are becoming increasingly dangerous for all pedestrians. There are more and more motorists; many are in a hurry in this fast-paced world; and many are distracted while talking on their cell phones. The presence of more and more quiet automobiles on our streets will only add to existing safety hazards throughout our communities.
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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 | 0.002 | 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 | 0.001 |
| 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 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".