The Mobile Phone in India and Nepal: Political Economy, Politics and Society
Bibliographic record
Abstract
This article scans the effects of mobile-phone communication, particularly in South Asia. It focuses on three important areas: political economy, politics and social practices. By 2012 India had more than 900 million telephone subscribers, 96 percent of them on cell phones, and the majority of users were the poor. At the other end of the social scale, the mobile phone provoked bitter struggles among some of India's biggest business houses and branches of government, and was responsible for criminal cases against politicians at the highest level. The essays in this volume are a reminder that technology is anything but neutral. The essays examine the many facets of mobile phone communication and the institutions, agents, mechanisms and networks such communication relies on. The essays contribute to efforts to interpret the effects of this technology and to gain insight into the most important aspect of the mobile phone: the sheer variety of activity (political, social and cultural) on which it impinges.
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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 | 0.000 | 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 | 0.000 |
| 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".