Documenting and Visualizing Sunlight in Toronto’s Core
Bibliographic record
Abstract
This study documents and visualizes the relationships between sunlight, built form, and public life in Toronto’s core. Photographs and stop-motion videos document the movement of sunlight and differences in human behaviour in varying sunlight conditions. Maps and diagrams made with Rhino3D/Ladybug visualize the annual sunlight conditions throughout the study area. This research builds upon prior studies and observes a strong relationship between sunlight and public life that changes with the seasons. This paper presents a series of recommendations including the protection, expansion, and intensification of public space in winter’s sunlight – especially on pedestrian-oriented shopping streets – and encourages the use of large deciduous trees to regulate sunlight across the seasons. There is a need to act fast since the built form of downtown Toronto is changing rapidly. While this research and its recommendations pertain to Toronto, they can be applied to other cities with similar climates, sunlight conditions, and built forms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".