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Record W2118138382 · doi:10.1136/ip.2010.030023

Some thoughts about ‘acceptable’ and ‘non-acceptable’ childhood injuries: Table 1

2011· article· en· W2118138382 on OpenAlexaff
Michal Molcho, William Pickett

Bibliographic record

VenueInjury Prevention · 2011
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsQueen's University
Fundersnot available
KeywordsOverweightMedicineChildhood obesityObesityInjury preventionOccupational safety and healthDiseaseHealth promotionHealth careEnvironmental healthSuicide preventionQuality of life (healthcare)RecreationGerontologyPoison controlPublic healthNursing

Abstract

fetched live from OpenAlex

Professionals involved in efforts to promote health in child populations are faced with a growing challenge. Children in many societies are burdened with the disease consequences of overweight and obesity, in part related to physical inactivity.1–3 Prevalence rates of childhood obesity have been increasing since the 1980s,4 5 and their known consequences include reduced quality of life, increased rates of chronic disease and associated healthcare costs, and early mortality.6–10 Obvious solutions to this problem include the promotion of physical activity via sports and active recreational opportunities. Such strategies can lead to reductions in risk for chronic disease which in turn lead to gains in health status that carry forward from childhood into the adult years.11–15 The same health professions that are charged with the responsibility of promoting physical activity in child populations are also faced with the reality of its negative health consequences. Injury related to childhood physical activity can occasionally lead to death or ongoing disability.16 Physical activity injuries are also a leading reason why children present to the emergency department and other acute care settings for urgent medical care.16–21 The obvious benefits (reduced obesity) and risks (increased injury) of childhood physical activity set the stage for a debate within …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.303
Teacher spread0.283 · 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.

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

Citations16
Published2011
Admission routes1
Has abstractyes

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