Bibliographic record
Abstract
Cities are never static; they are ever-evolving organisms requiring constant adaptation in an effort to function for the changing and increasingly diverse populations. One of the main issues with past planning practices in the development of social housing in Ontario is the lack of integrative strategies used to build neighbourhoods. Defining what successful integration entails is an important aspect of the creation of successful communities. The purpose of this study is to understand the elements necessary for creating integrative public space for Lawrence Heights; a community located in Toronto that will undergo an extensive revitalization process over the next twenty years. To determine the results, personal observations of the neighbourhood were conducted in a few ways: by taking photographs and notes of activities being enjoyed in the area, by attending a public meeting to comprehend the proposed plan for the redevelopment, and by participating in a workshop to understand the opinions of residents who will be affected by change in the neighbourhood. Integrative public space should include programs, facilities and multi-use, flexible aspects that cater to a variety of people, and can be easily accessed by users. Public space is only one component of integration, but is a very important one to comprehend in the practice of planning.
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 | 0.001 | 0.002 |
| 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 | 0.001 | 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".