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Record W4410076383 · doi:10.1111/cob.70024

Cognitive dissonance for weight stigma reduction: The development and effect of a counter‐attitudinal advocacy intervention

2025· article· en· W4410076383 on OpenAlexafffund
Vanessa Montemarano, Lamia Firasta, Jason C. Deska, Stephanie E. Cassin

Bibliographic record

VenueClinical Obesity · 2025
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsToronto Metropolitan University
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsCognitive dissonanceProsocial behaviorStigma (botany)Self-justificationMedicineCognitionSocial psychologyPsychologyIntervention (counseling)Clinical psychologySelf-perception theoryPsychiatry

Abstract

fetched live from OpenAlex

Weight stigmatization is persistent and pervasive, leading to numerous negative consequences. This study developed a weight stigma reduction intervention rooted in Cognitive Dissonance Theory aimed at reducing stigma towards individuals living in larger bodies. Undergraduate students (N = 325) were randomized to one of three conditions: Cognitive Dissonance (i.e., Written Advocacy or Written + Vocalized Advocacy) or Control. Participants in both Cognitive Dissonance conditions provided a written statement advocating for a proposal benefiting individuals living in larger bodies that would be somewhat costly to participants. Those in the Written + Vocalized Advocacy condition also vocalized their arguments to further enhance dissonance. It was hypothesized that compared to Controls, participants in both Cognitive Dissonance conditions would report reduced weight stigma and greater commitment to a prosocial action, with the strongest effects for the Written + Vocalized Advocacy condition. There was a significant reduction in weight stigma across all conditions, but minimal support for significant differences between conditions. Participants in the Cognitive Dissonance conditions did not commit significantly more hours towards the prosocial action compared to Controls. There was limited support that cognitive dissonance was induced. Future studies should pre-screen participants endorsing stronger weight stigma to help ensure they are advocating for a counter-attitudinal cause.

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)0.006
metaresearch head score (Gemma)0.003
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 score0.064
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.099
GPT teacher head0.542
Teacher spread0.444 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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