El efecto Newgate: La recuperación de la memoria de los enviados al patíbulo en En el último azul y en Por el cielo y más allá de Carme Riera
Bibliographic record
Abstract
Amongst the European corpus of dying speeches, the Newgate Calendars are paramount due to their popularity since the seventeenth century. Originally thought of as a narration with a moralistic tone to validate the status quo, it soon became a mass phenomenon. In the nineteenth century, the role of Destiny and the conception of crime as a sin is replaced by a break of the social contract and an attempt against private property. It is then published in verse to be sung for the masses and in prose for the high class. As a result, a new type of fiction is born; the Newgate Novel. One in which the criminal is portrayed as a hero. The goal of this article is to establish a comparison between En el último azul and Por el cielo y más allá and the process followed by the Newgate narrations between the seventeenth and the nineteenth centuries. Beginning with the autos de fe of 1691 and continuing in the nineteenth century with the descendants of one of those burnt at the stake, the novels gradually depart from the religious discourse, problematize the veracity of the official texts and position themselves in favor of the accused.\nKey Words: Carme Riera, dying speeches, Newgate Calendars, Newgate Novel, Destiny, gallows literature.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".