Quelles formes d’accompagnement la littératurepeut-elle offrir à l’heure de l’anthropocène ?
Bibliographic record
Abstract
L’article examine les formes d’accompagnement que la littérature offre depuis des siècles, et leur évolution jusqu’à l’ère de l’anthropocène. Les textes religieux et philosophiques ont longtemps guidé les individus vers des valeurs transcendantes ou collectives ; avec la Renaissance et les Lumières, l’accent s’est déplacé vers un accompagnement plus horizontal, centré sur l’individu et son bien-être terrestre. Aux XXe et XXIe siècles, les crises identitaires et la mondialisation ont contribué à l’intégration, par la littérature, de thématiques postcoloniales et écologiques, et de personnages « autres qu’humains », comme les animaux et les végétaux, dans un contexte de décentrement du sujet cartésien. (CG)
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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".