Self-driven women: gendered mobility, employment, and the lift of the driving ban in Saudi Arabia
Bibliographic record
Abstract
A key feature of current economic policies in Saudi Arabia is the inclusion of women in the labor market. The lift of the ban on women driving was expected to have a positive impact on this goal. Using longitudinal interviews with Saudi university students (both men and women), we find that the ban on women driving configured individual mobility as family mobility, which affected women’s options and men’s obligations. Secondly, we find that mobility constraints, moderated by socioeconomic status, continue to restrict women´s mobility even after the lift of the ban, reinforced by societal and family opposition. Finally, we show that the mobility constraints that Saudi women face affect their labor market preferences, opportunities, choices, and outcomes. While remaining conservative social attitudes continue to restrict women’s mobility, women’s increased labor force participation erodes those attitudes, creating a reinforcing mechanism in which increased mobility and labor market access strengthen each other.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".