Bibliographic record
Abstract
Le domaine public maritime est juridiquement bien défini. L’espace qu’il recouvre est au carrefour d’enjeux majeurs, entre terre et mer. Les risques naturels, comme les risques technologiques affectent cet espace. La Gestion intégrée des zones côtières oblige les autorités compétentes à renouveler leur approche de ces espaces. Dès lors, il sera constaté que l’approche classique du domaine public maritime révèle ses limités, mais l’appréciation doit être nuancée et conduit à distinguer selon qu’il s’agit de risques naturels ou de risques technologiques. En revanche il apparaît de manière significative que les enjeux inhérents à la situation du domaine public maritime exigent une approche intégrée, compte tenu notamment des objectifs contrastés dont il est l’enjeu. Ceci conduit à y redéfinir les modalités de la gouvernance. En conclusion, il apparaît bien que l’impact économique, social et écologique du changement climatique sur ces espaces fragiles implique aussi de s’attacher enfin aux causalités de ces phénomènes
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".