Bibliographic record
Abstract
Étude d’un type particulier de fiction sur la violence à travers La sangre derramada de José Pablo Feinmann. Cette œuvre où apparaissent les récits fondateurs du pays (El Matadero, Facundo, Amalia), fonde par le genre de la chronique et de l’essai l’expérience péroniste montonera et révèle la violence des années soixante-dix en Argentine. L’essai étudié relie les origines de la nation au XIXe siècle avec l’expérience dite de la gauche nationale, l’intégrant au patrimoine de la littérature « nationale ». La critique est analysée comme connaissance, responsabilité et méthode et la violence comme insuffisance historique. Par l’ampleur et l’hétérogénéité du spectre politique, philosophique et culturel abordé, l’œuvre de Feinmann manifeste une volonté de compréhension totalisante du passé et du présent. Son écriture, organisée sous la forme d’un immense compendium de lectures révèle autant le désir de tout comprendre que ses propres limites, liées à un contexte psychologique, social et historique déterminé.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".