Bibliographic record
Abstract
Le berger est traditionnellement lie au religieux, et l?on a pu dire, dans ce sens, qu?il est ?reparateur de continuite? (Christian Morzewski). Cette continuite se manifeste, entre autres, par un savoir astral. ?Les Bergers? et Desert de Le Clezio reprennent manifestement ce topos mythique, mais en presentent en meme temps une version ?brisee?: le ciel etoile n?offre guere de stabilite, mais se fragmente et se fait miroir de la violence des hommes. Par ailleurs, au berger se substituent les figures de l?artisan-pecheur (Naman) et du gitan-voleur (Radics), qu?on peut lire comme des doubles affaiblis, voire degrades. Chez Dhotel, le berger est d?emblee un personnage marginalise, coupe de tout savoir mythique, et reduit a constater des coincidences, des incidents. Aussi se caracterise-t-il par sa legerete, son jeu. Le Clezio et Dhotel semblent ainsi explorer deux poetiques contrastees du mythe, nostalgique et ludique. Le Clezio ?proche en cela d?un Claude Levi-Strauss ? voit/ecrit le mythe comme un grand recit perdu, alors que Dhotel semble plus proche de la metis grecque, de l??intelligence souple? qui releve du ?savoir-faire de l?artisan,? voire de la duplicite du trickster.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".