Approche géosémantique intégrée pour les cubes évolutifs de données géospatiales
Bibliographic record
Abstract
RtSUMt. Das un contexte decisionnel, les bases de donnees geospatiales multidimensionnelles representent souvem des donnees provenant de sources heterogenes et evolutives. L'evolution de la Slnicture multidimensionnelle el de l'evolution du decoupage spatial empechent le lraitement des requetes spaliotemporefles. en raison de l'absence de liens entre les cubes crees li differentes epoques. Dans cel or/icle, nous propOSQ/IS une nouvelle approche geosemantique au probleme de l'evolution de la SlruClUre multidimensionnelle el de l'evolutiol/ des membres de la dimel/sion spaliale. Celte approche geosemalllique integre 1/11 nouveau modele de mappil/g semantique adapte a la structure hierarchique des cubes, puis l'outil Oracle spalial pour l'etablissement des liens geometriques entre les membres de la dimension spatiale des diflerents cubes. Une methode de transformalion matricielle est imegree afin de traiter les requetes spaliotemporelles entre les cubes. L 'implementation et l'experimemation de l'approche dans le domaine de la foresterie demontre qu'elle permet a l'utilisateur d'obtenir des approximations valables pour des requetes.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".