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Record W4311288258 · doi:10.17269/s41997-022-00715-8

Pathways of association between disordered eating in adolescence and mental health outcomes in young adulthood during the COVID-19 pandemic

2022· article· en· W4311288258 on OpenAlexafffundvenue
Tianna Loose, Marie‐Claude Geoffroy, Massimiliano Orri, Nicholas Chadi, Sara Scardera, Linda Booij, Édith Breton, Richard E. Tremblay, Michel Boivin, Sylvana M. Côté

Bibliographic record

VenueCanadian Journal of Public Health · 2022
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsDouglas Mental Health University InstituteMcGill UniversityConcordia UniversityUniversité LavalUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersFonds de Recherche du Québec - SantéSocial Sciences and Humanities Research Council of CanadaMinistère de l'Éducation et de l'Enseignement supérieurCanadian Institutes of Health ResearchMinistère de la Santé et des Services sociauxMinistère de la SantéInstitut de Recherche Robert-Sauvé en Santé et en Sécurité du TravailFondation Lucie et Andre Chagnon
KeywordsLonelinessSuicidal ideationMental healthDisordered eatingAnxietyDepression (economics)PopulationYoung adultMedicinePandemicDemographyPsychiatryCohortPsychologyEating disordersPoison controlSuicide preventionClinical psychologyCoronavirus disease 2019 (COVID-19)GerontologyInternal medicineEnvironmental healthDisease

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003
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 score0.320
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.339
Teacher spread0.278 · 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

Citations6
Published2022
Admission routes3
Has abstractno

Explore more

Same venueCanadian Journal of Public Health→Same topicEating Disorders and Behaviors→French-language works237,207→