Le Mississippi d’Élisée Reclus : donner du sens aux eaux courantes
Bibliographic record
Abstract
Reclus demeure en Louisiane approximativement deux ans et est fasciné par le Mississippi. En 1854, celui-ci est en cours d’aménagement alors que les rives des fleuves européens sont déjà largement occupées. Le matériel laissé par l’auteur est abondant et procède de la synthèse de lectures nombreuses et diversifiées. Reclus a su intégrer les acquis issus des comptes rendus d’explorations, des travaux des naturalistes et des ingénieurs, et des réflexions de quelques courants, comme le transcendantalisme, la conservation et la préservation. À ses yeux, une fois qu’ils en ont compris le fonctionnement, les hommes peuvent compléter l’oeuvre de régulation des cours d’eau en imitant les travaux de la nature. Il s’agit de se protéger du fleuve, mais aussi de l’exploiter au mieux. L’eau occupe une place particulière au sein de l’oeuvre de Reclus et, s’il a recours à la quantification, il délivre des images poétiques pour susciter émotion et analyse.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".