Mindfulness and stereotype threat in social media: unexpected effects for women’s leadership aspirations
Bibliographic record
Abstract
Purpose The purpose of this paper were to investigate whether gendered social media images reduce women’s leadership aspirations (via reduced leadership self-efficacy) and whether state mindfulness buffers the effect of stereotype threat on women’s leadership self-efficacy, and in turn, leadership aspirations. Design/methodology/approach Study 1 ( n = 53) was a pilot study designed to test materials intended to induce stereotype threat via social media. Study 2 ( n = 144) was an experimental study in which participants were randomly assigned to stereotype threat or control conditions. Stereotype threat was implicitly induced via a fictional Facebook timeline that incorporated gendered images. Findings Stereotype threat induced via social media predicted lower leadership aspirations for women, which was mediated by reduced leadership self-efficacy, as expected. State mindfulness moderated this mediated relationship in an unexpected way; stereotype threat effects on leadership self-efficacy and leadership aspirations were stronger for women higher in state mindfulness. Originality/value It is important to investigate stereotype threat induced via social media to understand the potential damage gendered images may have on women’s leadership aspirations in a modern advertising context. This research shows that indeed gendered images in social media advertising decrease women’s leadership self-efficacy and leadership aspirations. Interestingly, this study also found that mindfulness had a negative effect in relation to stereotype threat. Theoretical and practical implications 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".