Mattering Matters: Agency, Empowerment, and Mobile Phone Use by Female Microentrepreneurs
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
This article attempts to enrich our understanding of the role that mobile phones play in the empowerment of women in the developing world. We adapt and explicate an innovative social psychological concept, “mattering,” embed it in the literature that examines the impact of mobile phones on social development outcomes, and consider the utility of mattering for the ICT4D community. Mattering is the perception that others are aware of, interested in, and depend on us. Based on a sample of 335 female microentrepreneurs in Chennai, India, we created a valid and reliable measure of mattering and its three dimensions. Mattering was predicted by (1) entrepreneurial expectations, an element of an individual's mindset; (2) social use of mobile phones; and (3) the perceived benefits of mobile phones for maintaining business networks. Findings suggest that mobile phone use plays a significant role in contributing to female entrepreneurs' perception that they matter.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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