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Record W4292854369

[Epidemiology of depressive and anxiety disorders among Quebec children and adolescents].

2017· article· en· W4292854369 on OpenAlexaffabout
Geneviève Piché, Marilou Cournoyer, Lise Bergeron, Marie‐Ève Clément, Nicole Smolla

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsHôpital Rivière-des-PrairiesUniversité du Québec en Outaouais
Fundersnot available
KeywordsEpidemiologyAnxietyMental healthPublic healthPsychiatryComorbidityDepression (economics)Psychiatric epidemiologyPrevalence of mental disordersClinical psychologyPsychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Epidemiology of child and adolescent mental health is a relatively new discipline, particularly in the province of Quebec. Some work has however estimated the prevalence of the most common mental disorders among young people, such as anxiety and depression, as well as identified associated individual, family and socio-economic variables. This article has two objectives: to present a review of major epidemiological research findings in child psychiatry conducted in the province of Quebec and highlight the contribution of these findings for public health. To achieve these objectives, this article presents the results of research related to three themes: 1) measurement and identification of anxiety and depressive disorders in children and adolescents, 2) the prevalence of these disorders and comorbidity, 3) the correlates of anxiety and depressive disorders identified in epidemiological studies. The authors will then highlight future implications of these results across Québec policies in the field of public health.

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)0.000
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 score0.019
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.043
GPT teacher head0.384
Teacher spread0.341 · 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

Citations2
Published2017
Admission routes2
Has abstractyes

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