Mobile Phones and Attitudes toward Women’s Participation in Politics
Why this work is in the frame
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Bibliographic record
Abstract
This study explores the relationship between technology adoption and attitudes toward gender equality in political representation by relying on diffusion theories coupled with frameworks of ideational change, social interaction, and world society. We examine whether the use of mobile phones shapes gender attitudes toward women’s participation in politics by making it more widely accepted that women hold institutional roles. We do so with micro-level data from the AfroBarometer, covering 36 African countries, and a multilevel modeling approach. Our results suggest that regular use of mobile phones is associated with more positive attitudes toward women’s participation in politics. The significant relationship—robust to the use of instrumental variable techniques—is observed only among women. This finding strengthens the idea that technology adoption on the part of women, by improving connectivity and expanding access to information, may be a successful lever to raise women’s status and promote societal well-being, ultimately contributing to achieving Sustainable Development Goal 5, which seeks to “achieve gender equality and empower all women and girls.” Concurrently, the lack of a significant relationship for men highlights an important yet often neglected issue: policies aimed at changing gender attitudes are often targeted at women, but men’s attitudes can be stickier than women’s, thus requiring further efforts.
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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 | 0.001 |
| 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