Toward the green city through revitalizing major obsolescent urban lands
Bibliographic record
Abstract
The author, an architect and urban designer, has played a leading role on a broad range of assignments in highly diverse urban settings in North America and Europe. Much of his work focuses on the rejuvenation of downtowns, waterfronts, neighborhoods, and campus master planning. His projects include the award-winning Saint Paul on the Mississippi Development Framework, the Brooklyn Bridge Park on the East River in New York, the East River waterfront in Lower Manhattan, the Fan Pier in Boston, the Southwest and Southeast Waterfronts in Washington, DC, the Vision Plan for Washington DC, Kendall Square and North Point/Lechmere Square in Cambridge, the Downtown Hartford Economic and Urban Design Action Strategy and the Downtown Master Plan for Fort Lauderdale. Current efforts include the " Big Picture for the Big Dig": the Rose Kennedy Greenway in Boston, the renewal of Regent Park, a major public housing project in Toronto; the implementation of the Convention District Master Plan in San Juan, P.R., and Urban Design advice for the Cincinnati Center City Development Corp (3CDC). In each city, with each project, his strategic, consensus-building approach has led to coordinated planning and a renewed focus on urban design. The text that follows is an edited and revised version of a paper presented at the international symposion on"The Natural City, " Toronto, 23-25 June, 2004, sponsored by the University of Toronto's Division of the Environment, Institute for Environmental Studies, and the World Society for Ekistics.
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 | 0.010 | 0.014 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".