Bibliographic record
Abstract
The sustainable growth and development of our cities are amongst the most important issues of the world today. It is estimated that soon up to ninety percent of the world’s population will live in urban centers. How to accommodate such growth, while maintaining high quality of life, is one of the most challenging tasks facing society. \n \nThe design proposal will address the future population growth in the City of Toronto with the intensification of an inner suburban area in central Etobicoke. It is founded on principles that address the communities growing needs while working to cultivate a sense of place and improve the livability of the surrounding neighbourhood. \n \nWithin this area through the design of a mixed-use development with significant forms of public space and amenities, the neighbourhood would experience increased connectivity with the surrounding environment and improved sense of community. It will draw together the residents of the area and cultivate a new public realm from its now disparate elements, this would raise the areas ability to meet future housing needs and mitigate congestion. \n \nThe design for the Etobicoke Centre is a symptom of – and a drive toward – the evolution of a mature suburb to a place aspiring for urbanity. The story of suburban transformation is relevant to metropolitan areas around the continent, and the clarity of the architectural design demonstrates how good public space design can set standards of sophistication, craft, and structure for other developments to follow. New growth in the area has the potential to act as a catalyst for change, demonstrating how existing inner suburbs have the ability to evolve into more urban, sustainable places.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".