Approche des espaces de la pratique nautique par l’analyse de la fréquentation : l’exemple du bassin de navigation arcachonnais
Bibliographic record
Abstract
Les activités de plaisance connaissent depuis plusieurs décennies un développement remarquable sur les littoraux français. Mais si les infrastructures portuaires sont relativement bien connues, il n’en va pas de même des pratiques nautiques en mer dont la connaissance reste largement lacunaire au regard des enjeux de gestion et de conservation qu’elles impliquent. Cet article présente les méthodes et les principaux résultats d’une étude de fréquentation menée de 2008 à 2010 sur le Bassin d’Arcachon pour notamment évaluer le nombre de bateaux, caractériser et cartographier les espaces de pratique sur ce site éminemment complexe. Sans remettre en cause le concept de bassin de navigation, les résultats permettent d’en préciser le fonctionnement intrinsèque qui repose sur l’existence de sous-territoires de pratique.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".