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Record W2028524920 · doi:10.1300/j096v09n01_06

Contributing Factors to Engulfments in On-Farm Grain Storage Bins

2003· article· en· W2028524920 on OpenAlex
Douglas M. Kingman, Gail R. Deboy, William E. Field

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Agromedicine · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsCase fatality rateMedicineAgricultureEnvironmental healthDemographyGeographyPopulation

Abstract

fetched live from OpenAlex

Since 1978 Purdue University has maintained a national database of agriculture-related engulfment cases that have occurred in loose agricultural material in both commercial and on-farm facilities. The database presently contains 502 documented cases of fatal and non-fatal engulfments from the U.S. and Canada. A review of the more recent on-farm fatal and non-fatal engulfment cases, those occurring in 1980 through 2001, was conducted in order to characterize engulfments and identify contributing factors that would be relevant to future intervention strategy development including the implementation of design standards for on-farm structures. From 1980 through 2001, 197 cases were identified that occurred in on-farm grain bins, 156 of which were fatal and 41 were non-fatal. A rate of approximately seven fatal and two non-fatal cases per year were identified from 1980 through 2001. The magnitude of the engulfment problem is continuing, based on six and seven fatal cases reported in the years 2000 and 2001, respectively. Sixteen percent of fatal and six percent of non-fatal victims were children and adolescents under the age of 16. Fifty percent of the survivors were 60 years of age or older. Engulfments were generally reported more often in the top corn-producing states and involved corn in 76% of the fatal cases when product was known. Seventy-seven percent of the fatal victims were unloading the bin at the time of engulfment in cases where activity at the time of engulfment was known. Forty-one percent of the fatality cases involved corn that was out-of-condition where the condition of the grain was known. In survival cases where information about the presence of co-workers at the time of engulfment was known, it was found that a co-worker was present at the time of engulfment in 86% of the cases. In four cases, a survivor was rescued from a bin after being completely engulfed in grain. In all four cases, a co-worker was present at the time of engulfment and out-of-condition grain was involved. Findings are being used to design new injury prevention strategies, including educational materials and recommendations for engineering controls that focus on primary causative factors.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.159

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.231
Teacher spread0.216 · 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