Ciudadanía mediática en tiempos de crisis. Análisis de la participación sociopolítica de nativos e inmigrantes digitales en la era Post-Web.
Bibliographic record
Abstract
En la era Post-Web, la participación de las audiencias en asuntos sociopolíticos ha estado marcada por la intermitencia. Esta investigación indaga las posibles relaciones de la ciudadanía mediática ante el constructo teórico participación sociopolítica. Se presentan los hallazgos de un estudio cuantitativo realizado en una entidad (provincia) mexicana, utilizando pruebas no paramétricas (U de Mann-Whitney, Chi-cuadrado y Kruskal Wallis); el objetivo es identificar si el manejo de medios digitales incide en la percepción y acción comunicativa para el cambio de las audiencias contemporáneas (nativos e inmigrantes digitales). Los resultados sugieren que el binomio participación-tecnología es más complejo de lo que aparenta.
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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 | 0.010 |
| 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 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".