Address by HSH the Prince Albert II of Monaco
Bibliographic record
Abstract
climate change and its impacts on the environment, the economy, health and Mediterranean societies.It will also be valuable in developing responses that draw on "scientific evidence" to address the issues of adaptation, resource conservation, solutions and risk prevention.Reflecting the full complexity of the Mediterranean environment, the book is a major scientific contribution to the climate issue, where various scientific considerations converge to break down the boundaries between disciplines.Cet ouvrage, publié par l'Alliance nationale de recherche sur l'environnement (Allenvi) à l'occasion de la 22 e Conférence des Parties de la Convention Cadre des Nations unies sur le changement climatique (COP22) de Marrakech, est le fruit de la mobilisation de chercheurs et d'universitaires des deux rives de la Méditerranée.Il constitue une synthèse scientifique exceptionnelle sur les mécanismes du changement climatique, ses impacts sur l'environnement, l'économie, la santé et les sociétés de la Méditerranée.Il représente par ailleurs un précieux outil pour élaborer des réponses, fondées sur l'« évidence scientifique », en matière d'adaptation, de conservation des ressources, de solutions ou de prévention des risques.Mettant en exergue toute la complexité de l'environnement méditerranéen, cet ouvrage est une contribution scientifique majeure à la question climatique, au croisement des questionnements scientifiques dans une perspective de décloisonnement disciplinaire.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.423 | 0.184 |
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".