Gender, Cultural Schemas, and Learning to Cook
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
While public health researchers stress the importance of home-cooked meals, feminist scholars investigate inequalities in family cooking, including why women still cook much more than men. Key to understanding these inequalities is attention to how people learn to cook, a relatively understudied topic by social scientists. To address this gap, this study employs the concept of cultural schemas. Drawing from qualitative interviews and observations of 34 primary cooks in families, I identify the ubiquity of a “cooking by our mother’s side” schema. This schema privileges culinary knowledge acquired during childhood through the social reproductive work of mothers. I argue, first, that this schema reproduces gendered inequalities over generations by reinforcing women as primary transmitters of cooking knowledge. Second, it presents an overly uniform picture of food learning that obscures diversity, especially by overemphasizing the importance of childhood and masking the learning that occurs later in life. Identifying and analyzing this schema offers opportunities to reconsider predominant approaches to food learning to challenge gendered inequalities in domestic foodwork.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it