Human Scale in Medium and High Density Montreal Neighbourhoods
Bibliographic record
Abstract
L’échelle humaine, qui est la relation proportionnelle entre les bâtiments et les rues par rapport à l’humain, est l’une des principales caractéristiques absentes des villes aux larges avenues et espaces ouverts, conçus après la Deuxième Guerre mondiale. Il est compris aujourd’hui que les critères de design élaborés à cette époque n’ont pas permis aux urbanistes de créer des villes confortables et depuis, cette vision est remise en question pour une approche intimement liée à l’échelle humaine. Afin de comprendre les répercussions de cette problématique et comment nos lieux de vie peuvent être améliorés, cette étude s’est intéressée aux caractéristiques physiques reliées la perception du piéton sur l’échelle humaine dans les quartiers résidentiels.[...]
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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".