What determines feelings of belonging and majoring in an academic field? Isolating factors by comparing psychology and philosophy
Bibliographic record
Abstract
Feelings of belonging are integral in people's choice of what career to pursue. Women and men are disproportionately represented across careers, starting with academic training. The present research focuses on two fields that are similar in their history and subject matter but feature inverse gender gaps—psychology (more women than men) and philosophy (more men than women)—to investigate how theorized explanations for academic gender gaps contribute to feelings of belonging. Specifically, we simultaneously model the relative contribution of theoretically relevant individual differences (empathizing, systematizing, and intellectual combativeness) as well as life goals (prioritization of family, money, and status) to feelings of belonging and majoring in psychology or philosophy. We find that men report higher intellectual combativeness than women, and intellectual combativeness predicts feelings of belonging and majoring in philosophy over psychology. Although systematizing and empathizing are predictive of belonging and, in turn, majoring in psychology and philosophy, respectively, when other factors are taken into account, women and men do not differ in empathizing and systematizing. Women, more than men, report prioritizing having a family, wealth, and status in choosing a career, and these directly or indirectly feed into feelings of belonging and majoring in psychology, in contrast to prior theory. Together, these findings suggest that students’ perceptions of their own combativeness and the extent to which they desire money and status play essential roles in women's feeling they belong in psychology and men's feeling they belong in philosophy.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".