Why don’t “real men” learn languages? Masculinity threat and gender ideology suppress men’s language learning motivation
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
Large gender disparities in participation still exist across many university subjects and career fields, but few studies have examined factors that account for gender gaps in female-dominated disciplines. We examine one possible cause: threatened masculinity among men who hold traditional gender ideologies. Past research has linked endorsement of traditional gender ideologies to gender-stereotypical occupational choices, and threats to masculinity can lead men to distance themselves from femininity. After confirming that 1,672 undergraduates stereotyped language learning as feminine, we applied a masculinity threat manipulation to investigate 182 men’s disinterest in studying foreign languages, a female-dominated university subject. Men with traditional masculinity ideologies reported less interest in foreign language study and less positive attitudes towards foreign languages following masculinity threat, compared to men whose masculinity was affirmed or who held less traditional masculinity beliefs. Traditional masculine gender roles may lead some men to avoid feminine-typed domains, such as foreign language learning.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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