Consuming Images: How Television Commercials that Elicit Stereotype Threat Can Restrain Women Academically and Professionally
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Women in quantitative fields risk being personally reduced to negative stereotypes that allege a sex-based math inability. This situational predicament, termed stereotype threat, can undermine women’s performance and aspirations in all quantitative domains. Gender-stereotypic television commercials were employed in three studies to elicit the female stereotype among both men and women. Study 1 revealed that only women for whom the activated stereotype was self-relevant underperformed on a subsequent math test. Exposure to the stereotypic commercials led women taking an aptitude test in Study 2 to avoid math items in favor of verbal items. In Study 3, women who viewed the stereotypic commercials indicated less interest in educational/vocational options in which they were susceptible to stereotype threat (i.e., quantitative domains) and more interest in fields in which they were immune to stereotype threat (i.e., verbal domains).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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 it