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Recollections of puberty and disordered eating in young women

2016· article· en· W2544218287 on OpenAlexaff
Sarah R. Moore, Kirsten M.P. McKone, Jane Mendle

Bibliographic record

VenueJournal of Adolescence · 2016
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsBC Children's HospitalUniversity of British Columbia
FundersU.S. Department of the Treasury
KeywordsPsychologyDisordered eatingDevelopmental psychologyYoung adultEating disordersClinical psychology

Abstract

fetched live from OpenAlex

ABSTRACT Puberty begins a period of vulnerability for disordered eating that is maintained and amplified through adolescence and early adulthood. In the present study, we test the association between young women's recollections of physical maturation and disordered eating outcomes in early adulthood. Participants comprised N = 421 female undergraduate students at a large, northeastern university in the United States (Mage = 19.7 years). Three models assessed the relative contributions of recollected puberty (perceptions of changes and preparedness, and timing of puberty), current contextual (social support, romantic bond, sorority or sport participation), and demographic (race, socioeconomic status, family structure) variables to three eating‐disorder outcomes. Recollections of feeling unprepared and disliking the physical changes of puberty predicted eating disorder symptoms more than any other demographic or current contextual factor. Results indicate that how young women experience the pubertal transition is related to eating disorder symptoms many years later.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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 designQualitative
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

Citations17
Published2016
Admission routes1
Has abstractyes

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