Assignment of work involving farm tractors to children on North American farms†
Bibliographic record
Abstract
BACKGROUND: Children are at high risk for tractor-related injury. The North American Guidelines for Children's Agricultural Tasks (NAGCAT) provide recommendations for the assignment of tractor work. This analysis describes tractor-related jobs assigned to farm children and compares them to NAGCAT. METHODS: A descriptive analysis was conducted of baseline data collected by telephone interview during a randomized, controlled trial. RESULTS: The study population consisted of 1,138 children who worked on 498 North American farms. A total of 2,389 farm jobs were reported and 456 (19.1%) involved operation of farm tractors. Leading types of tractor jobs were identified. Modest, yet important, percentages of children were assigned tractor work before the minimum ages recommended by NAGCAT. CONCLUSIONS: Children on farms are involved in tractor work at a young age and some are involved in jobs that they are unlikely to have the developmental abilities to perform. NAGCAT is a new parental resource that can be applied to these work situations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 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".