¿Internet aumenta, reduce o complementa el capital social? Redes sociales, participación y compromiso comunitario
Bibliographic record
Abstract
Â?Como afecta Internet el Capital social? Â?El aumento de las posibilidades de comunicacion mediante Internet aumenta, reduce o complementa el contacto interpersonal, la participacion y el compromiso hacia la comunidad? Las evidencias descritas en este trabajo provienen de una encuesta realizada en 1998 a 39 mil 211 visitantes del sitio web de la Sociedad Geografica Nacional (National Geographic Society), una de las primeras encuestas online a gran escala. Los autores encontraron que la interaccion de las personas online complementa sus contactos cara a cara y la comunicacion telefonica sin aumentarla o reducirla. Sin embargo, un uso intensivo de Internet esta asociado con el incremento en la participacion en organizaciones politicas y de voluntariado. Un apoyo adicional para este efecto es la asociacion positiva entre la participacion online y offline en organizaciones politicas y de voluntariado. No obstante, los efectos de Internet no solo son positivos. Los usuarios que hacen un uso mas intensivo de la red son los menos comprometidos en las comunidades online. Tomadas en conjunto estas evidencias sugieren que Internet se esta normalizando a medida que esta siendo incorporado en las practicas rutinarias de la vida
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".