The (Ironic) Dove Effect: Use of Acceptance Cues for Larger Body Types Increases Unhealthy Behaviors
Bibliographic record
Abstract
The average weight of the population has risen rapidly in much of the world. Concurrently, in recent years, advertisers have begun using larger models in their campaigns, and many of these advertisements claim that their larger models (vs. the thin models commonly used) possess “realistic” body types. Many groups have lauded these moves as beneficial for promoting a healthy body image in society. However, in five studies, the authors find that cues suggesting the acceptance of larger body types result in greater intended or actual consumption of food and a reduced motivation to engage in a healthier lifestyle. The authors suggest that the reason being larger bodied appears to be contagious is that, because it is considered more socially permissible, people exhibit lower motivation to engage in healthy behaviors and consume greater portions of unhealthy food. The authors also contrast acceptance with communications stigmatizing various body types and identify limitations of both approaches. They conclude with implications for public policy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.054 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".