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Record W2619443701 · doi:10.1037/dev0000355

Adolescents’ body image trajectories: A further test of the self-equilibrium hypothesis.

2017· article· en· W2619443701 on OpenAlexaff
Alexandre J. S. Morin, Christophe Maïano, Laura Francesca Scalas, Michel Janosz, David Litalien

Bibliographic record

VenueDevelopmental Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsResearch Unit on Children's Psychosocial MaladjustmentUniversité de MontréalConcordia UniversityUniversité LavalUniversité du Québec en Outaouais
FundersRegione Autonoma della SardegnaAustralian Research CouncilMinistero dell’Istruzione, dell’Università e della RicercaUniversità degli Studi di Cagliari
KeywordsPsychologyDevelopmental psychologyTest (biology)Social psychologyCognitive psychology

Abstract

fetched live from OpenAlex

= 12.6, including 541 males and 465 females) across a 4-year period. The results supported the self-equilibrium hypothesis among 3 profiles of adolescents, all characterized by matching BI levels and stability: (a) High (48.0%); (b) Increasing (34.1%); and (c) Decreasing (17.9%). Boys presented higher levels of BI, and the quality of relationships with peers and parents predicted initially more desirable trajectories across gender. By the end of the study, more positive academic outcomes were associated with the Decreasing profile, lower internalizing problems with the High profile, and lower externalizing problems with the High and the Increasing profiles. (PsycINFO Database Record

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)0.002
metaresearch head score (Gemma)0.006
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.028
GPT teacher head0.315
Teacher spread0.287 · 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

Citations30
Published2017
Admission routes1
Has abstractyes

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