Cobertura mediática en desapariciones: análisis del caso de Gabriel Cruz y Diana Quer
Bibliographic record
Abstract
En el presente trabajo se realiza un análisis de la cobertura realizada por los medios<br />de comunicación cuando ocurre una desaparición. El objetivo principal de la investigación es<br />detectar cuáles son las negligencias realizadas por los periodistas para aportar una serie de<br />recomendaciones que podrían ayudar a los medios de comunicación ante la inexistencia de un<br />código específico. Para ello, se ha llevado a cabo un estudio cuantitativo de 40 noticias<br />abordadas por distintos medios sobre la desaparición de Gabriel Cruz y Diana Quer; así como<br />un estudio cualitativo de dos entrevistas semiestructuradas y un análisis de documentación<br />agrupando también la cobertura realizada a nivel internacional. Tras ello, se concluye que las<br />desapariciones son sucesos traumáticos altamente mediáticos, donde la complejidad y la<br />necesidad inmediata de informar terminan en una mala praxis de muchos periodistas.<br /><br />
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".