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Record W2160774504 · doi:10.1080/09243450600909183

School experiences influence personal health and interpersonal relationships of adolescents: The Canadian case

2007· article· en· W2160774504 on OpenAlexaboutno aff
Xin Ma

Bibliographic record

VenueSchool Effectiveness and School Improvement · 2007
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyLearned helplessnessMental healthFeelingInterpersonal relationshipInterpersonal communicationDevelopmental psychologySelf-esteemPerceptionMultilevel modelClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Canadian data from the 1998 Cross-National Survey on Health Behaviors in School-Aged Children were analyzed to examine the effects of school experiences on personal health (physical health, mental health, self-esteem, helplessness, and body image) and interpersonal relationships (number of close friends and making friends) among adolescents. Hierarchical linear models with students nested within schools highlighted that both physical and mental health and self-esteem declined among Canadian adolescents across grade levels (Grades 6 – 10). Canadian adolescents also showed substantially increasing concerns about their body image. No health concern was found about feeling helpless and interpersonal relationship. The most important school effects pertained to parent behaviors at the school level with child-parent relationship being important to physical and mental health and parental involvement being important to self-perception (self-esteem, helplessness, and body image) and interpersonal relationship.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.031
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0100.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.298
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2007
Admission routes1
Has abstractyes

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