Reseña. Nieto Solís, José Antonio. El agua de la muerte. (2014). Madrid: Ed. Verbum. 240 págs
Bibliographic record
Abstract
Resumen El agua de la muerte is a crime fiction novel written by José Antonio Nieto Solís that brings out the endemic ills affecting Spanish society. Its omniscient narration, journalistic style and jumps back in time invite the reader to participate in the investigation and develop a close link to the social reality that is portrayed. The author draws on classic formulas and incorporates new elements to successfully create interwoven plots that are entertaining and committed, catching the reader and forcing him/her to reflect on his/her own reality, and on current social and political affairs. Among them, stand out the leading role that the female subject has in the plot, as well as the suggestive metaphor of the poisoned water, which effectively conveys the idea that economic and political corruption affects all of society. Abstract El agua de la muerte es una novela criminal escrita por José Antonio Nieto Solís que saca a la luz los males endémicos que aquejan a la sociedad española. Su narración omnisciente, su estilo periodístico y el juego de saltos temporales mediante analepsis invitan al sujeto lector a participar en la investigación y lo vinculan directamente con la realidad social retratada. El autor recurre a las fórmulas clásicas y a elementos novedosos para lograr un entretejido de tramas entretenidas y comprometidas que atrapan al sujeto lector y lo obligan a reflexionar sobre su propia realidad y la actualidad política y social. Destacan el protagonismo que tiene la mujer en la novela y la sugestiva metáfora del agua envenenada, que transmite con gran efectividad la idea de que la corrupción económica y política alcanza a toda la sociedad.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".