Le fait divers criminel au prisme du web 2.0 : Le Grand Incendie, La Cité des mortes et Alma
Bibliographic record
Abstract
Parce que les renouvellements formels liés à l’émergence des webdocs sont propices, selon nous, à un enrichissement de notre perception et de notre compréhension du fait divers criminel, et par extension, de la souffrance et de la violence à l’œuvre dans notre société, cet article se veut une exploration — à travers quelques paradigmes de l’historienne Arlette Farge quant à l’écriture de l’histoire et de l’événement — de trois webdocs criminels, Alma de Miquel Dewever-Plana et Isabelle Fougère, Le Grand Incendie de Samuel Bollendorf et Olivia Colo et La Cité des mortes de Marc Fernandez et Jean-Christophe Rampal. Nous postulons ici que le webdoc, principalement caractérisé par son processus d’interactivité, favorise une narrativité multiple, indisciplinée, équivoque et à portée universelle, à rebours des stéréotypes narratifs, de l’ordonné, de l’unicité et de l’exotisme singulier. Autrement dit, le webdoc ne raconte pas une histoire mais la multiplicité fondatrice de celle-ci, tant du point de vue sémantique que formel.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| 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".