Building Broadband Infrastructure from the Grassroots: the Case of Home LANs in Belarus
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 paper describes the development of residential Internet infrastructure by communities of citizens in Minsk, Belarus, in Eastern Europe. Sharing resources and technologies these communities created infrastructures from the grassroots that became an alternative to an undeveloped and hardly affordable provision of Internet-access provided by Internet companies. This grassroots network became the main source of residential broadband Internet access. During the 16 years of their development (1994-2010), home LANs grew to connect a million users, created a number of important Ethernet innovations and established mutually profitable cooperative relationships with private providers and municipal organizations. This paper focuses on the innovative aspects of home LANs and describes this solution to the development of the local grassroots Internet infrastructure. The case study provides an example of user-driven innovations for the ‘First Mile’ that can address aspects of the digital divide and social exclusion, despite a variety of resource-based limitations.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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