46 PAFE: Prevention of farm accidents in children
Bibliographic record
Abstract
Farm accidents are a major cause of mortality and morbidity in the pediatric population. Many accidents occur when children are assigned work normally performed by adults, and much of this work is beyond their developmental abilities. Consideration of child development has led to the development of the North American Guidelines for Children’s Agricultural Tasks (NAGCAT). NAGCAT is a collection of guidelines designed to help parents assign suitable tasks to children aged 7 to 16 living or working on farms. The primary objective is to describe the caracteristics of injured children and leading mechanisms of injury. Secondary objectives are to assess the potential of prevention of the NAGCAT and to identify the NAGCAT farm work that was most commonly associated with these injuries. This research is a retrospective case series study. The study population is 282 hospitalized children and 18 children who died from 2002 to 2016 following an agricultural trauma in Quebec. Hospitalization data were consulted at the INSPQ offices. The mortality data was sent to us by the coroner’s office. Sociodemographic data, hospital stay and injury characteristics were recorded for hospitalization cases. The applicability of NAGCAT was evaluated for the most common injury mechanisms. We looked at the age at which the injuries occurred and compared it to the recommended minimal ages for the different farm activities described in the guidelines. Injuries that occurred in the context of an activity not recommended for age were considered preventable. The main mechanisms of injury were tractor related incident, other farm equipment related incident and falls. Boys aged 5 to 9 and 15 to 19 years were the most affected by agricultural trauma. It was possible to evaluate the applicability of NAGCAT on 66% of hospitalizations and 100% of deaths. Of these, 67% of hospitalizations and 83% of deaths were preventable by NAGCAT recommendations on age. For traumatic injuries among hospitalizations from 2006 to 2015, 11% of patients had a diagnosis of intracranial injury, 8% had a broken leg, 6% had a skull fracture and 6% a traumatic amputation of the hand. Boys aged 5 to 9 and 15 to 19 years are the groups with the highest risk possibly due to the more reckless temperament among adolescents, lack of supervision and assignment of age-inappropriate tasks to children. The results suggest that it is imperative to focus on farm accidents and that NAGCAT would be an effective tool in terms of prevention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".