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Record W2766475552 · doi:10.1111/jrh.12281

Health and Well‐Being Among Young People From Canadian Farms: Associations With a Culture of Risk‐Taking

2017· article· en· W2766475552 on OpenAlexafffundabout
William Pickett, Richard L. Berg, Barbara Marlenga

Bibliographic record

VenueThe Journal of Rural Health · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsQueen's University
FundersCanadian Institutes of Health ResearchNational Institute for Occupational Safety and HealthHeart and Stroke Foundation of Canada
KeywordsMental healthLife satisfactionScale (ratio)Environmental healthPsychologyRural areaMedicineDemographyHealth riskWell-beingHealth indicatorGerontologyPopulationSocial psychologyPsychiatryGeography

Abstract

fetched live from OpenAlex

PURPOSE: To determine whether patterns of adolescent risk behavior in rural populations, and especially farm populations, are associated with negative indicators of adolescent health and well-being, beyond an established association between risk-taking and injury. METHODS: The study base was Cycle 7 (2014) of the Canadian Health Behaviour in School-Aged Children study. Children aged 11-16 years (n = 2,565; 2,533 weighted) who reported living or working on farms were matched within schools in a 1:1 ratio with other rural children. We related a scale describing engagement in multiple risk behavior to a series of indicators of adolescent health and well-being. FINDINGS: Farm children, particularly male farm children, showed the highest levels of risk behavior. Multiple risk behavior was strongly and consistently associated with negative indicators of general health, mental health (life satisfaction, psychosomatic symptoms), and academic performance in all subpopulations. CONCLUSIONS: Adolescent risk behavior in rural populations, and especially farm populations, is common and associated with a variety of negative indicators of adolescent health and well-being. We speculate that the origins of this risk-taking lifestyle surround cultural definitions of self and identity, which have both protective and negative effects.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.010
GPT teacher head0.239
Teacher spread0.229 · 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

Citations11
Published2017
Admission routes3
Has abstractyes

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