Devenir sur 10 ans du rechargement massif du Golfe d’Aigues-Mortes
Bibliographic record
Abstract
Afin de lutter contre l'rosion croissante des plages sableuses du Golfe d'Aigues-Mortes (Occitanie), un rechargement massif en sable a t ralis pendant l'hiver 2007-2008. Un peu plus d'un million de mtres cube de sables prlevs sur une flche sous-marine (pointe de l'Espiguette) ont t rpartis sur quatre plages soumises des phnomnes de recul du trait de cte (Palavas, Carnon, Petit Travers et Boucanet). Cet article fait le point sur l'volution de ce rechargement sur une priode de dix ans aprs l'opration grce un suivi topo-bathymtrique annuel. Il met en avant la redistribution spatio-temporelle des sdiments et les relations existantes entre les trois compartiments que sont la plage merge, la zone de battement du trait de cte et l'avant-cte. Une certaine stabilit semble atteinte seulement quatre ans aprs le rechargement et le prisme littoral n'a perdu qu'environ 30% du volume de sable initialement recharg, mais avec de forte disparit entre les sites. Cette tude devrait permettre aux gestionnaires du littoral de mieux apprhender le devenir d'un rechargement au cours du temps et donc de mieux adapter les volumes prendre en compte et les compartiments prfrentiels recharger.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".