Female grandiose narcissists are willing to post sexualized selfies to garner attention, regardless of self-esteem
Bibliographic record
Abstract
Many of the sexualized images found on social network sites are selfies posted by the women themselves. To understand the factors associated with these self-presentations, the current study studied attention seeking as a mediating factor in the relation between grandiose narcissistic tendency and willingness to post sexualized selfies, with self-esteem as a moderating factor, within the framework of the Uses and Gratifications theory. An online survey was conducted with a sample of 193 self-identified female, undergraduate students (95% between 17 and 25 years of age) who are active on at least one photo-based social networking site platform. Controlling for willingness to post non-sexualized selfies, grandiose narcissistic tendency was positively associated with the willingness to post sexual selfies, by increasing adoption of an attention seeking motive. Self-esteem did not moderate the indirect effect, suggesting that sexualized selfies may function as a deliberate means of gaining visibility rather than a compensatory strategy for low self-esteem. Potential implications regarding the selfie-posting behaviors of those with grandiose narcissistic tendencies are discussed.
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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 | 0.000 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".