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Record W2069816062 · doi:10.1080/1059924x.2012.655120

The Role of Child and Adolescent Development in the Occurrence of Agricultural Injuries: An Illustration Using Tractor-Related Injuries

2012· review· en· W2069816062 on OpenAlex
David C. Schwebel, William Pickett

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Agromedicine · 2012
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsQueen's University
Fundersnot available
KeywordsIntervention (counseling)TractorHuman factors and ergonomicsInjury preventionPoison controlOccupational safety and healthAgricultureSuicide preventionChild developmentPsychologyFocus groupMedicineEnvironmental healthDevelopmental psychologyEngineeringBusinessPsychiatryGeographyMarketing

Abstract

fetched live from OpenAlex

Agricultural settings are dangerous, especially for children. This article focuses on child and adolescent development, and how development might influence children's safety in the occurrence of pediatric farm injuries. The authors focus especially on one of the most traumatic causes of pediatric farm injury, those associated with tractor operation. The roles of physical, perceptual, cognitive, and social development are reviewed and discussed, as are relevant sociocultural factors. Following review of developmental risks for child injury in agricultural settings, the authors present a case study of a fatal youth tractor injury and provide illustrations of the child development factors that may have contributed to the death. The authors conclude with a discussion of the implications of developmental aspects of pediatric agricultural injury for behaviorally oriented intervention strategies, including public policy.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.273
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it