Bibliographic record
Abstract
Dans le cadre de l’esthétique contemporaine du cadavre, il est peu d’images aussi marquantes que la surenchère transmédiatique et véritablement planétaire des morts vivants. Passant des jeux vidéo à la bande dessinée et au nouveau cinéma d’horreur marqué par le traumatisme du 11 septembre 2001, les zombies envahissent aussi la littérature et la critique universitaire qui les avaient jusque-là ignorés. Fidèle au modèle romérien, cette invasion néo-zombie prolonge les grands thèmes du maître : la ville en ruines et l’anomie sociale ; la pandémie et le cannibalisme des morts ; le triomphe de l’iconographie du cadavre galvanisé ; la surenchère dans le détail gore, à la lisière de l’humour ; la paranoïa envers les appareils idéologiques d’État ; le sous-texte religieux d’un Jugement dernier sans rédemption ; enfin, la politique du mauvais goût qui fait des zombies les emblèmes d’une anti-esthétique contre-culturelle.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".