Social Impact and Diffusion of Telecenter Use: A Study from the Sustainable Access in Rural India Project
Bibliographic record
Abstract
In a study of social diffusion of telecenter use in rural south India, we find that these centers are being used only by a relatively small proportion of the village households despite their having been in operation for well over a year. Based on a survey of the telecenter users, we find that these users are, in general, young, male, school or college students, relatively more educated, belong to relatively higher income households, and come from socially and economically advanced communities. Thus the telecenters may sustain existing socioeconomic inequalities within these communities. However, we find some significant exceptions. We find that location of telecenters close to the residential localities where socially and economically backward communities live and presence of local champions within those communities are associated with attracting more users from those communities. We also find that providing localized content and services and making these services more affordable are other important factors in increasing usage and diffusion. We posit that incorporating these factors in the planning, spatial location, and operation of the telecenters can significantly improve their social diffusion and improve their long-term financial and social sustainability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".