Hibridación digital en el Cono Sur: Consumo de medios tradicionales, digitales y uso de redes sociales
Bibliographic record
Abstract
This work offers an exploratory approach to the consumption of traditional and digital media and the use of social networks in Argentina, Chile and Uruguay. In the first place, a brief theory is offered that contextualizes the advance of new information technologies. Subsequently, with data from the International Telecommunication Union (ITU) and surveys with national probabilistic samples financed by the International Development Research Center (IDRC) of Canada, a descriptive analysis is carried out on the consumption of politicak information and the use of digital social networks. These three countries have high Internet penetration rates, broadband subscriptions and mobile Internet compared to other Latin American countries. Despite this, traditional channels such as television continue to predominate in the consumption of political information. Finally, the average age of digital media and network users is lower and there are certain sociodemographic differences by country. For example, Chile and Uruguay show greater concentration in their metropolitan areas, and a socioeconomic gap can be seen in Internet consumption in Argentina and Chile.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".