Motor City Park : Reimagining privately owned public spaces as sites of collaborative self expression
Bibliographic record
Abstract
Ongoing development pressure in the City of Vancouver has resulted in residents being priced out of neighbourhoods where they used to live and work. The proposed Broadway Plan calls for intensive upzoning over several neighbourhoods which currently contain some of the most affordable rents in the city, without planning for adequate public space needed for increased density. The city is to rely on private developers to provide public benefits through CACs (Community Amenity Agreements). Frequently, these agreements lead to the formation of Privately Owned Public Spaces (POPS), wherein private owners get to design and manage the space, often to the exclusion of the public. This project suggests a shift from the current status quo, instead giving this right to community groups to support creative expression. The former MEC flagship building at 130 West Broadway was chosen as the test site. Working within the context of this new development proposal allowed for the visualization of environmental changes that may take place on site. The design resolution sought to maximize light into the space, while connecting the street level to the higher elevation at the back lane, while also incorporating the use of indoor space for studios.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".