MétaCan
Menu
Back to cohort
Record W2099487984 · doi:10.1136/ip.2008.020487

Injury patterns at US and Canadian overnight summer camps: first year of the Healthy Camp study

2009· article· en· W2099487984 on OpenAlexaboutno aff
Eric J. Goldlust, Edward A. Walton, Robert Stanley, Ellen Yard, Barry A. Garst, R. Dawn Comstock, Linda Ebner Erceg, R. Raymond Cunningham

Bibliographic record

VenueInjury Prevention · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsPoison controlInjury preventionSuicide preventionOccupational safety and healthForensic engineeringHuman factors and ergonomicsSummer campMedical emergencyEngineeringMedicineEmergency medicineEnvironmental sciencePsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe injury patterns at overnight summer camps in 2006, and identify risk factors for more significant injury. DESIGN: Surveillance data obtained from Healthy Camp Study from 2006 were analyzed from 71 overnight camps, representing 437,541 camper-days and 206,031 staff-days. RESULTS: Injuries were reported in 218 campers and 81 staff. 51.8% of injured campers were male versus 34.6% of staff. Among campers, 60.1% were evaluated off-site; 2.3% required hospital admission. 43.9% of injuries required >24 h activity restriction (deemed "significant injury"). Among campers, significant injury was associated with camp sessions > or =14 days (RR 1.48); among staff, with male sex (RR 1.85) and camper-to-staff ratio (RR 0.67). There were no associations with age, time of day, setting, or level of supervision. CONCLUSIONS: Significant injuries are uncommon at overnight summer camps. Rates appear similar to those in comparable activities. Targeted interventions may further reduce injury risk.

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 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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueInjury PreventionSame topicAgriculture and Farm SafetyFrench-language works237,207