Re-Sourceful Networks: Notes from a Mobile Social Networking Platform in India
Bibliographic record
Abstract
The paper analyzes SMSGupShup, a mobile-centric social networking platform in India. It focuses on a set of dominant users (young, male) who are redefining the nature of micro-blogging and the creation of mobile networking communities. Like many social networking sites, assembling, maintaining and growing social networks are primary behaviours on GupShup. Unlike many others, where maintaining a personalized profile and conversing with a networked community take prominence, users of GupShup show markedly different messaging or broadcasting practices. While captivated by the idea of connecting with people all over India for the first time through the GupShup platform, the primary motivation of users is not conversation, forging a “second life” or building interest groups, but optimizing the networking service to expand one’s own group membership. From a qualitative study of user profiles, the paper demonstrates how GupShup can inform thinking about facets of mobile communities in developing countries: specifically, changing ideas about the networking platform as a “second social life” to one of a pecuniary “resource.”
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".