Evolution and Application of the Brazilian Legislation for the Traffic of Tractors on Public Roadways
Bibliographic record
Abstract
The evolution of Brazilian agricultural mechanization increased, within with the cultivated area, searching to satisfy the demand for food. The agricultural tractor is the main source of power in meeting this demand. However, due to its increasing use, incidents have been observed in public roadways. The lighting and signaling elements of these machines are critical in preventing these occurrences, and there is, in Brazil, legislation in this area, the CONTRAN (National Traffic Council) and the Ministry of Labor. The objective of this study was to demonstrate the evolution and application of the Brazilian law for the lighting and signaling requirements for tractors on public roads traffic and relate these aspects to scientific studies relevant to the topic. Through the study, it was observed that there was an evolution in the Brazilian legislation, especially since 2014, with the term of CONTRAN Resolution no. 454. From this evolution, there was misalignment between the items required by the different legislative bodies on the subject and, in addition, the provisions from both the CONTRAN and the Ministry of Labor have no technical and/or dimensional requirements relative to the location of items on the machine. The scientific studies analyzed showed that there was also progress in the implementation of legislation in new agricultural tractors. However, it is not enough for the machine to leave the factory in a proper way, it must be maintained in working conditions for its operation. Finally, it was observed the need for the implementation of awareness campaigns on the context of road safety and the use of methods for assessing their effectiveness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".