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Record W2980751569 · doi:10.1016/j.bodyim.2019.10.001

Development and testing of a model for risk and protective factors for eating disorders and higher weight among emerging adults: A study protocol

2019· article· en· W2980751569 on OpenAlexaff
Marita P. McCabe, Gemma Tatangelo, Brittany Watson, Matthew Fuller‐Tyszkiewicz, Rachel F. Rodgers, Annie Aimé, David Mellor, Antonio Granero‐Gallegos, Esben Strodl, M. L. Caltabiano, Gianluca Castelnuovo, Gianluca Lo Coco, Sarah Grogan, Michel Probst, Jacinthe Dion, Christoph Maïano, Gian Mauro Manzoni, Marie-Ève Blackburn, Giada Pietrabissa, Charlotte N. Markey, Salvatoree Gullo, María Jesús Lirola Manzano, Manuel Alcaraz‐Ibáñez, Naomi Hayami‐Chisuwa, Qi‐qiang He, Lina A. Ricciardelli

Bibliographic record

VenueBody Image · 2019
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsBibliothèque et Archives nationales du QuébecCégep de JonquièreUniversité du Québec à ChicoutimiUniversité LavalUniversité du Québec en Outaouais
Fundersnot available
KeywordsBiopsychosocial modelEating disordersPsychologyOverweightProtocol (science)Clinical psychologySociocultural evolutionSample (material)Path analysis (statistics)GerontologyObesityMedicinePsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.065
metaresearch head score (Gemma)0.059
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: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.065
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0650.059
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0040.003
Science and technology studies0.0080.003
Scholarly communication0.0040.003
Open science0.0060.005
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0370.007

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 head0.024
GPT teacher head0.327
Teacher spread0.303 · 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
GenreProtocol

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
Published2019
Admission routes1
Has abstractyes

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