The impact of thin ideal images on mood: what role do demand characteristics play?
Bibliographic record
Abstract
Previous research has shown that female viewers generally experience detrimental effects following exposure to idealized media images. However, in experimental studies, demand characteristics – or cues that help the participant deduce the true purpose of the study – might influence the responses participants provide, particularly in studies involving idealized images. The present study investigated the potential role of demand characteristics following exposure to media images. Undergraduate female students (N = 172) were assigned to three groups (Implied Demand, Minimized Demand and Control), two of which were exposed to idealized media images in fashion magazines. Demand characteristics were manipulated when the experimenter provided the magazines during a break period, and participants’ mood was assessed both pre and post-exposure. Contrary to previous research, our results indicated that exposure to magazine images did not have consistently detrimental effects on the measures of participants’ mood. Potential explanations for these results and future directions of research are discussed.
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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 | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".