Bibliographic record
Abstract
Les histoires mises bout à bout des personnages qui composent Alma forment à la fois une microhistoire de l’île Maurice et l’histoire de l’héritage de la famille Felsen. Alma, le domaine des Felsen a fait l’objet d’un détournement d’héritage et Dodo, le personnage principal, devenu errant, a été spolié. A travers son destin symbolique, c’est l’histoire de l’île Maurice, les méfaits de la colonisation et les dégâts plus récents de la pollution que dénonce l’auteur. Les thèmes chers à Le Clézio de la mise en lumière des marginaux et des dominés se dessinent à travers les multiples regards de personnages tyrannisés de diverses manières. Par cette histoire composite et qui traverse les siècles, Le Clézio cherche à responsabiliser les humains, comme l’ont fait une longue lignée d’écrivains avant lui, Montesquieu, Condorcet, Voltaire, Camus, en insistant sur le devoir mémoriel, notamment de l’esclavage, et en dénonçant les terribles ravages écologiques et la maltraitance des faibles.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".