Optimisation de la gestion du patrimoine de connaissances géographiques de la DREAL Alsace : application au service Milieux et risques naturels (MRN)
Bibliographic record
Abstract
Suite aux directives européennes poussant les institutions françaises à définir des objectifs de partage et de gestion du patrimoine, le bon management du patrimoine de connaissance SIG est devenu un enjeu primordial pour la DREAL. Le déploiement d’une stratégie des connaissances à l’échelle de la DREAL a été confié en partie à l’unité SIG, qui a mené une réflexion afin de proposer des outils et des procédures d’administration et de partage des connaissances géographiques. Avec le soutien du service MRN, cette démarche a été mise en œuvre par l’application du système de gestion élaboré et la réalisation d’études assurant la valorisation des données.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".