The flip side of vanity sizing: How consumers respond to and compensate for larger than expected clothing sizes
Bibliographic record
Abstract
Abstract Vanity sizing has become a popular retail trend and recent work shows it has a favorable impact on consumers. However, as the current research demonstrates, significant variations in sizing standards across retailers mean that consumers are as likely to encounter larger sizes as they are smaller, “vanity” sizes when shopping, highlighting the importance of understanding how consumers react to this potential threat in the marketplace. Across five studies we demonstrate that larger sizes result in negative evaluations of clothing and show that these effects are driven by consumers' appearance self‐esteem. Importantly, we also find that instead of unilaterally lowering purchase intent as one might assume, larger sizes can actually increase spending, as consumers engage in compensatory consumption to help repair their damaged self‐esteem. In so doing, this research reveals a dynamic and complex relationship between consumers and sizing labels, where shopping can serve to build, strengthen, threaten, and/or repair appearance self‐esteem.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".