L' Infoterritoire de la Ville de Gatineau : une plateforme interactive d’innovation et de cartographie sociale
Bibliographic record
Abstract
En tant que gouvernement de proximité, les villes sont au coeur du processus d’innovation urbaine et sociale. Dès 2016, dans une perspective d’amélioration continue des services aux citoyens, la Ville de Gatineau a innové en lançant une application web et mobile intitulée Infoterritoire. Cet outil, une première au Québec, permet de réaliser des cartes, des tableaux et des graphiques à partir de données statistiques et géomatiques fiables. L’Infoterritoire est particulièrement utile aux employés, aux organismes communautaires, aux gens d’affaires, aux établissements d’enseignement et aux chercheurs qui veulent analyser des phénomènes urbains en utilisant les données sociodémographiques. Dans le présent article, nous tenterons de montrer en quoi l’Infoterritoire est un outil d’innovation sociale, d’éducation et de démocratisation de la cartographie urbaine, même en contexte de pandémie, qui exige l’adaptation des villes et qui change considérablement les modes de vie des citoyens à l’échelle mondiale.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".