“I am Not a Feminist, but. . .”: Hegemony of a Meritocratic Ideology and the Limits of Critique Among Women in Engineering
Bibliographic record
Abstract
Engineering is often described as an enduring bastion of masculine culture where women experience marginality. Using diaries from undergraduate engineering students at four universities, the authors explore women’s interpretations of their status within the profession. The authors’ findings show that women recognize their marginality, providing clear and strong criticisms of their experiences. But these criticisms remain isolated and muted; they coalesce neither into broader organizational or institutional criticisms of engineering, nor into calls for change. Instead, their criticisms are interpreted through two values central to engineering culture: meritocracy and individualism. Despite their direct experiences with sexism, respondents typically embrace these values as ideological justifications of the existing distributions of status and reward in engineering and come to view engineering’s nonmeritocratic system as meritocratic. The unquestioned presumption of meritocracy and the invisibility of its muting effects on critiques resembles not hegemonic masculinity—for these women proudly celebrate their femininity—but a hegemony of meritocratic ideology. The authors conclude that engineering education successfully turns potential critics into agents of cultural reproduction. This article contributes to ongoing debates concerning diversity in STEM professions by showing how professional culture can contribute to more general patterns of token behavior—thus identifying mechanisms of cultural reproduction that thwart institutional change.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.032 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| 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 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".