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Record W1891262148

Self-silencing in a clinical sample of female adolescents with eating disorders.

2007· article· en· W1891262148 on OpenAlexaff
Annick Buchholz, Katherine A. Henderson, Adrienne Hounsell, Anne Catherine Wagner, Mark L. Norris, Wendy Spettigue

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsPsychologyEating disordersAnxietyClinical psychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: The present study was designed to assess the relationship between self-silencing behaviours and eating disorder symptoms in a female adolescent population with eating disorders. METHOD: One hundred and forty-nine adolescent girls between the ages of 13 and 18 completed a comprehensive assessment at a tertiary care children's hospital. Each participant completed the Eating Disorder Inventory-2 (EDI-2; Garner, 1991), the Multidimensional Anxiety Scale for Children (MASC; March et al, 1997), and an adapted version of the Silencing the Self Scale for adolescents (STSS; Sippola & Bukowski, 1996). RESULTS: Self-silencing behaviours correlated strongly with eating disorder symptomatology. Social anxiety was found to predict body dissatisfaction, while externalized self-perception was found to contribute uniquely to body dissatisfaction and drive for thinness, two risk factors closely associated with eating disorders. CONCLUSION: These results suggest the importance of including relational and emotional development in comprehensive models of disordered eating.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.325
Teacher spread0.289 · 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

Citations37
Published2007
Admission routes1
Has abstractyes

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