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Record W2073779612 · doi:10.1037/a0016347

Les relations avec les pairs à l’adolescence comme facteurs de risque de l’insatisfaction à l’égard de l’image corporelle.

2010· article· fr· W2073779612 on OpenAlexaffvenue
Stéphane Cantin, Simina Nicoleta Stan

Bibliographic record

VenueCanadian Journal of Behavioural Science/Revue canadienne des sciences du comportement · 2010
Typearticle
Languagefr
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cette etude vise a examiner dans quelle mesure certains facteurs de risque sur le plan des relations avec les pairs (incitations a maigrir et critiques negatives au sujet de l'apparence physique, victimisation par les pairs, niveau d'insatisfaction a l'egard de l'image corporelle des amis de meme sexe et frequence des conversations entre amis concernant l'apparence physique) permettent de rendre compte des changements observes dans l'insatisfaction a l'egard de l'image corporelle (IIC) au debut de l'adolescence. Des informations sur l'IIC ont ete recueillies deux annees consecutives aupres de 594 eleves du secondaire I et II. Les resultats montrent que certaines caracteristiques individuelles des eleves au Temps 1, telles que le sexe, l'indice de masse corporelle et l'estime de soi generale, sont associees a l'augmentation de l'IIC sur une periode de un an. Une fois les facteurs de risque individuels controles, la contribution des facteurs de risque relationnels s'avere non significative. Les differents facteurs de risque relationnels sont toutefois etroitement associes aux caracteristiques individuelles des eleves au debut de l'adolescence. Le patron de resultats est similaire pour les filles et les garcons.

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)0.005
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.110
GPT teacher head0.308
Teacher spread0.198 · 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

Citations4
Published2010
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Behavioural Science/Revue canadienne des sciences du comportementSame topicEating Disorders and BehaviorsFrench-language works237,207