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Record W3036195819 · doi:10.7870/cjcmh-2020-003

Not Flourishing Mental Health Is Associated with Higher Risks of Anxiety and Depressive Symptoms in College Students

2020· article· en· W3036195819 on OpenAlexaffvenue
Isabelle Doré, Jennifer O’Loughlin, Marie‐Pierre Sylvestre, Catherine M. Sabiston, Guy Beauchamp, Marc Martineau, Louise Fournier

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversité de MontréalCégep de l'OutaouaisCentre Hospitalier de l’Université de MontréalUniversity of Toronto
Fundersnot available
KeywordsFlourishingMental healthAnxietyPsychological interventionPsychiatryClinical psychologyPromotion (chess)Depressive symptomsPsychologyDepression (economics)MedicinePsychotherapist

Abstract

fetched live from OpenAlex

Youth mental health is a major public health concern. This study assesses whether baseline and short-term changes in mental health predict anxiety and depressive symptoms in college students. Not flourishing mental health at baseline was a risk factor for high levels of anxiety and depressive symptoms. Compared to participants with stable flourishing mental health, those who declined to not flourishing and those who were stable not flourishing had increased risks of high anxiety and depressive symptoms. Assessing mental health may be effective in predicting mental disorder symptoms and supports the need for mental health promotion interventions.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.085
GPT teacher head0.387
Teacher spread0.302 · 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

Citations20
Published2020
Admission routes2
Has abstractyes

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