Additional Dwelling Area (ADU) Estimation in GIS: Application to the City of Windsor, Ontario, Canada, Lightning Talk (7 min)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Acquiring a home in Canada, whether through buying or renting, has been financially challenging in recent years. Therefore, introducing a second residential unit, also known as additional dwelling unit (ADU), could be seen as a potential solution to this dilemma by providing more affordable housing for many. In this project, a model was develop using the ModelBuilder in ArcGIS to estimate the available area for an ADU on each land parcel in the City of Windsor in Ontario, Canada. Then, a categorical model was used to determine if a specific ADU complies with the constraints put on by the city. In general, more than 94% of the residential parcel in the City of Windsor have enough area to house an ADU. Among them, about 44% are eligible to have a detached ADU, while more than 40% are eligible to have an attached or interior ADUs.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it