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Record W4405365418 · doi:10.1016/j.appet.2024.107821

An examination of the effect of exposure to calories on menus on body-related self-conscious emotions: Continuing the investigation beyond body dissatisfaction

2024· article· en· W4405365418 on OpenAlexafffund
Sarah Galway, Kimberley L. Gammage

Bibliographic record

VenueAppetite · 2024
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council
KeywordsCaloriePsychologyDevelopmental psychologySocial psychologyMedicineEndocrinology

Abstract

fetched live from OpenAlex

Mandatory calorie labelling on restaurant menus has been implemented in several Western countries. The purpose of the present study was to examine direct and indirect effects of the exposure to calorie information on menus on body-related shame, guilt, and hubristic pride. Self-compassion was examined as a moderator, and self-objectification was examined as a mediator. Men and women (N = 359, mean age = 42 years) were recruited on Prolific for a study examining "self-perceptions and menu choices". Participants were randomly assigned to view a menu with or without calorie information and select a hypothetical meal. Exposure to calories on menus statistically significantly predicted higher body-related shame, but not body-related guilt or body-related hubristic pride. Self-objectification did not mediate the relationship between exposure to calories on menus and body-related shame, guilt, or hubristic pride. Self-compassion moderated the relationship between exposure to calories on menus and body-related shame. Overall, individuals who scored low on self-compassion experienced higher body-related shame after exposure to a restaurant menu with calories. These findings outline potential harmful effects of mandatory calorie labelling that should be taken into account in the mandating and evaluation of such policies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.523
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.268
Teacher spread0.263 · 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 teacher head, 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
Published2024
Admission routes2
Has abstractyes

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