Keystone Agricultural Producers Roll Over Tractor Training Course
Bibliographic record
Abstract
Tractor rollovers, many of which impact inexperienced drivers, contribute significantly to the fatality rate of the agricultural industry. Keystone Agricultural Producers and their partners developed the Roll-Over Training Tractor (ROTT) as a tool to improve the efficacy of teaching about tractor rollovers. The ROTT is a one-third scale electric tractor modeled based off the design of a commercial tractor. This machine is piloted using a remote control. It has a live video feed using the Reolink app from a camera mounted above the rear axle. The ROTT was intended to be used at the University of Manitoba (UofM) Glenlea Research Station. There is currently no adequate course to demonstrate typical rollover scenarios using the ROTT. The objective of the project undertaken by Team 1 was to design the ROTT Demonstration Course which includes stations to simulate sideways and backwards rollovers. Technical specifications were developed with the client to ensure that the design of the ROTT Demonstration Course fulfilled the project problem statement. The solution developed includes two stations: the Incremental Slope Station and Silage Bunker Station. The Incremental Slope Station is intended to induce a side rollover. It will be implemented as an addition to an existing slope at the UofM Glenlea Research Station. The slope of this addition will begin at 30° and will increase to 45° at 1° every 6ft. The ROTT will be driven along this slope until it rolls over sideways and is caught by the side support wheels. The process of piloting the tractor and viewing the live feed of the rollover will provide experience for students that will allow them to adequately assess if a slope will risk a tractor rollover. The ROTT will be retrofitted with spikes and a centre rod on the bucket such that a 3.11 slug mass can be carried. The Incremental Slope Station can then be run with an added mass on the front. This will demonstrate the effect of a displaced centre of gravity on the angle that induces a tractor rollover. The Silage Bunker Station is a to-scale model of a concrete silage bunker. It is designed such that when the ROTT drives on the silage packed at 45° (+, -0°), a back rollover will be induced. The course was designed to require little maintenance. Drawings and a Bill of Materials are included for the construction of each station, the spikes, and centre rod. Evaluation approaches were developed to assess whether the proposed design solution fulfils each of the technical specifications. Due to the ROTT being inoperable, using a test slope to verify rollover angles was not possible. It is recommended that tests will be administered after construction is completed in the summer of 2024.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.161 | 0.038 |
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".