Thin-Ideal Images and Affect: An Investigation Using Magazines and Minimizing Demand
Bibliographic record
Abstract
Women and girls generally experience slightly reduced satisfaction with their appearance following exposure to thin-ideal media images. Inconsistent findings have been obtained regarding the impact of such images on positive and negative affect. However, in experimental studies, researchers have typically exposed participants to a concentrated dose of such images, isolated from context, instead of showing them in an everyday context such as within a fashion magazine. This has implications for external validity because the context in which thin-ideal images are viewed may change their effects. Concentrated exposure also increases demand characteristics. The present study investigated the effect of thin-ideal images presented in magazines on viewers’ affect, while manipulating the level of demand characteristics. Undergraduate female students (N = 172) were assigned to three groups (Implied Demand, Minimized Demand, and Control), two of which were exposed to fashion magazines; the third group was exposed to control magazines containing no thin-ideal images. Demand characteristics were manipulated when the experimenter provided the magazines during a putative break period, and participants’ affect was assessed both pre- and post-exposure. Our results indicated that exposure to fashion magazines was no different from exposure to control magazines in the effects on participants’ affect.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".