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A Neuroecosocial Perspective on Adolescent Development

2023· article· en· W4386122142 on OpenAlexaff
Suparna Choudhury, Blanca Piera Pi‐Sunyer, Sarah‐Jayne Blakemore

Bibliographic record

VenueAnnual Review of Developmental Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcGill UniversityJewish General Hospital
FundersMedical Research CouncilJacobs FoundationWellcome Trust
KeywordsMental healthPsychologySocioeconomic statusCognitionContext (archaeology)Perspective (graphical)Developmental psychologyGlobeAnxietyPsychiatryMedicinePopulationNeuroscienceGeographyEnvironmental health

Abstract

fetched live from OpenAlex

Adolescence is a period of life that encompasses biological maturation and profound change in social roles. It is also a period associated with the onset of mental health problems. The field of developmental cognitive neuroscience has advanced our understanding of the development of the brain within its immediate social and cultural context. In a time of rising rates of mental health problems among adolescents across the globe, it is important to understand how the wider societal, structural, and cultural contexts of young people are impacting their biological and social-cognitive maturation. In this article, we review the landscape of youth mental health and brain development during adolescence and consider the potential role of brain research in understanding the effects of current social determinants of adolescent mental health, including socioeconomic inequality, city living, and eco-anxiety about the climate crisis.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.003
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 head0.037
GPT teacher head0.375
Teacher spread0.338 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations25
Published2023
Admission routes1
Has abstractyes

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