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Record W7099094189

International Journal of Clinical Psychiatry and Mental Health, 2013, 1, 33-40 33 Relative Deprivation and Mental Health in Canadian Adolescents

2014· article· en· W7099094189 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicChemical Safety and Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthRelative deprivationProsocial behaviorPsychopathologySocioeconomic statusMental illnessSocial deprivationAssociation (psychology)
DOInot available

Abstract

fetched live from OpenAlex

Abstract: Prior research on social class differences in adult mental illness suggests that relative differences in affluence impact mental health and well-being more than absolute affluence. However, it is unclear whether relative deprivation also relates to adolescent mental health and to both internalizing and externalizing dimensions of mental health. This study examined the association between relative deprivation in schools and mental health in a community sample of 26,069 adolescent participants of the Canadian Health Behaviour in School-aged Children (HBSC) study. School-based surveys measured five dimensions of mental health and well-being: internalizing symptoms, externalizing symptoms, positive well-being, prosocial behaviour and life satisfaction. Regression analyses found that relative deprivation positively related to internalizing problems and negatively related to well-being and life satisfaction after differences in absolute affluence were held constant. However, relative deprivation did not relate to externalizing dimensions of mental health (externalizing symptoms and prosocial behaviour). These findings extend epidemiological evidence of links between income inequality and internalizing psychopathology to adolescent populations and underscore the influential role of socioeconomic status in adolescent health. Suggestions for future research and the practical implications of the findings are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.983

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 head0.011
GPT teacher head0.301
Teacher spread0.290 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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