WikiSIG et GeoDesign collaboratif. Proposition d'un cadre théorique.
Bibliographic record
Abstract
RESUME: Avec l’emergence du Web 2.0, de nouvelles applications naissent et evoluent vers des formes plus interactives d’intelligence collective. Ces applications offrent aux professionnels comme au grand public un acces ouvert et enrichi a l’information geographique. Dans cet article, nous proposons les bases conceptuelles d’une nouvelle solution technologique baptisee WikiSIG. La force du WikiSIG reside dans sa capacite a assurer la tracabilite des evolutions spatio-temporelles des composantes geographiques generees par les utilisateurs (geometriques : localisation et forme; graphiques: iconographie; descriptives: semantique). Nous proposons egalement de mettre en evidence en quoi le WikiSIG constitue un support innovant au GeoDesign collaboratif.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".