MétaCan
Menu
Back to cohort
Record W2095375318 · doi:10.5993/ajhb.28.s1.5

The Social Context of Childhood Injury in Canada: Integration of the NLSCY Findings

2004· article· en· W2095375318 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAmerican Journal of Health Behavior · 2004
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTemperamentDisadvantageDevelopmental psychologyPsychologySocioeconomic statusEarly childhoodLongitudinal studyContext (archaeology)Poison controlInjury preventionHuman factors and ergonomicsLogistic regressionClinical psychologyMedicineSocial psychologyEnvironmental healthPersonalityPopulationGeography

Abstract

fetched live from OpenAlex

OBJECTIVE: To integrate findings from cross-sectional and longitudinal analyses of the relationships between childhood injury, child behavior, parenting, family functioning and neighborhood characteristics. METHODS: Logistic modeling of cross-sectional (n = 12,666) and longitudinal (n = 9796) data from the National Longitudinal Survey of Children and Youth. RESULTS: Consistent correlates of childhood injury across designs included child's age, gender, difficult temperament, aggressive behavior, positive parenting, neighbors' cohesion, neighborhood problems, and socioeconomic disadvantage. CONCLUSION: Contextual influences on childhood injury vary by child's age, temperament and behavior. In early childhood, neighborhood processes of cohesion show protective effects. For older children, neighborhood disadvantage dominates the risk of injuries.

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 score0.528
Threshold uncertainty score0.869

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 head0.019
GPT teacher head0.352
Teacher spread0.333 · 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