Renforcer l’identité culturelle : la conception d’un Keemeenopin Keekeh pour les jeunes à Moosonee, Ontario
Bibliographic record
Abstract
Cette thèse explore comment une architecture fondée sur les relations \nsociales et territoriales pourrait contribuer à la création d’un lieu qui procure \nun sentiment d’appartenance pour les jeunes de Moosonee. L’approche vise à \ninvoquer une identité culturelle individuelle chez les jeunes, tout en fortifiant \nl’avenir culturel de la communauté. Issue de discussions avec des membres \nde la communauté, la thèse propose une approche unique à la conception \net à la programmation d’une maison des jeunes qui est confortable et \nsécuritaire, un Keemeenopin Keekeh, se fondant sur leurs besoins et \naspirations. Des sessions de recherche participative ont été accomplies pour \ndonner une voix aux jeunes durant les phases initiales du projet. Celles-ci \nont permis d’identifier 5 objectifs de design clés pour guider la conception \nde la maison. Le projet vise ainsi à supporter les jeunes dans la célébration \nde leur identité, ainsi que de leur place comme membres actifs dans leur \ncommunauté.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.017 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".