Quantity or Quality Evaluation of Open Space in the Urban Ghetto of Downtown, Vancouver
Bibliographic record
Abstract
The revitalization of urban ghettos, the most unique part of the downtown area, has already become the most difficult issue for almost all the international metropolises because it is often occupied by poor, homeless people, where crime and drug use remains at a relatively high level. The common approach in renewal projects focus on increasing the quantity of the open space, instead of ensuring quality aspects, since more open space could attract more visitors, thereby transforming the unsafe atmosphere of the area. Therefore, this research chose the Gastown and Chinatown areas in the downtown east side of Vancouver, Canada, which is a typical urban ghetto with high density and crime rates, in addition to their multiple cultural and ethnic makeup and further examined the relationships between the quality/quantity of the open space and overall living conditions and illustrated that quality plays a rather more significant role than quantity in the urban renewal process. The result would make urban designers, architects rethink the role of open space created buildings in the urban built environment by stating that enhancing the quality of existing open space would be a more practical and economic way than increasing its quantity.
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 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 | 0.003 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".