Community Democratization of Telecommunications Community Cooperatives in Argentina: The Case Of TELPIN
Bibliographic record
Abstract
A telecommunications community cooperative (TCC) is an autonomous association of individuals, which join forces to solve common economic, social, and cultural needs and aspirations through a jointly owned enterprise, democratically governed and managed. In Argentina, TCCs were created by community conscious members to fill in for the State role when it was unable to provide telephone service in remote areas, generally marginalized from services provision. In 1989, the State telephone enterprise was privatized. From 1992 onwards, TCCs replaced the large private telephone enterprises, since these were not interested in providing non profitable services in remote or low-populated areas. TCCs provide telephone and Internet services, by dial-up and/or broadband (ADSL) connections, as well as IP telephony, to their target populations at significantly lower costs than the large traditional firms (Telefónica and Telecom). Most of them offer also free community services, such as courses on information and communication technologies (ICTs), free Internet access to public schools, libraries, and public facilities (police stations, hospitals, etc.). This work focuses on a particular case study: TELPIN, the Pinamar Telecommunications Cooperative. Telpin was created by a group of Pinamar neighbors, most of them founders of the local community, in 1962. Since then, it has become the largest and most successful Telecommunications Cooperative in Argentina.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".