Retour à Montréal-Nord: un examen critique de mon expérience comme étudiant dans un projet particiaptif d'aménagement avec des jeunes
Bibliographic record
Abstract
Cet article explore sous l’angle éthique les attentes, surprises et déceptions vécues par les étudiants inscrits à un atelier de design participatif avec des jeunes de 10-14 ans. Cette expérience, inscrite dans le programme Growing up in Cities, devait aboutir à des résultats de recherche et des projets d’aménagement réalistes en impliquant les jeunes comme collaborateurs dans la conception. Face à ces objectifs ambitieux, le bilan pour les jeunes est mitigé sur le plan des retombées et du caractère égalitaire des rapports. En revanche, on se rend compte que les étudiants ont cherché diverses manières de traiter les jeunes comme des personnes intelligentes, sensibles et autonomes. Cet article propose quelques pistes pour éclairer les choix en termes de démarche de participation. This paper explores with an ethical angle the expectations, surprises and disillusions experienced by students engaged in a participatory design workshop with youths aged 10 to 14. This project, part of the Growing up in Cities program, involved the youth as collaborators in a research process and in the design of a realistic local development scheme. Outcomes are partly disappointing, especially regarding the student-youth relationship. Nevertheless, it appears that stu- dents searched various ways to treat youths as sensible, intelligent and autonomous persons. This article concludes on some considerations on choosing participation methods.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.024 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.032 | 0.023 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".