Revitalizing Cities Through Design of Waterfront Brownfields
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
Post-World War II, large-scale city expansion associated with rapid urbanization has rendered many urban waterfronts in city centres as obsolete brownfield landscapes. Upon being remediated, these sites have the potential to be converted from underutilized land to vibrant urban waterfront neighbourhoods. A remediated waterfront site in the Port Credit neighbourhood of Mississauga, Ontario provided the opportunity to develop a design for revitalizing the site in response to concerns expressed by the public. Two waterfront brownfield case studies, one in downtown Toronto and the other along the lakeshore of Mississauga, were analyzed within the framework of principles of New Urbanism to ascertain how relevant issues had been addressed. The proposed design responds both to public concerns and the goal to integrate the site into the surrounding community. This research will contribute to a better understanding of socially and environmentally sensitive approaches to waterfront brownfield revitalization, as well as providing urban planners and landscape architects with tools for creating dynamic possibilities for accommodating emerging public demands in the heart of cities.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it