Gender, Social Background, and the Choice of College Major in a Liberal Arts Context
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
Enduring disparities in choice of college major constitute one of the most significant forms of gender inequality among undergraduate students. The existing literature generally equates major choice with career choice and overlooks possible variation across student populations. This is a significant limitation because gender differences in major choice among liberal arts students, who attend college less for specific career training and more for broader learning objectives, are just as great as among those choosing pre-professional majors. This study addresses this gap by examining how privileged men and women at an elite, liberal arts university select their fields of study. Drawing on in-depth interviews, findings contradict the prevailing assumption of a unitary model of major choice as career choice by revealing a plurality of gendered meanings around choosing a field of study. Majors may play an important part in the construction of an intellectual identity as much as a means of career preparation. How students approach the choice relates to both gender and social background. For privileged students, traditional gendered associations with bodies of knowledge hold salience in their decision making as well as expectations of reproducing future elite family roles. This research also illuminates how gendered processes of choosing fields of study take place in relationship to particular institutional contexts.
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 | 0.001 | 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