Bibliographic record
Abstract
Urban waterfront could be noticed as a symbolic place realizing sustainable development which pursues the balance of preservation & development, because the very one of major issues of urban waterfront is the balance of preservation of ecological environment and supply of urban land. Just at the right time the new millennium begins, quite a few global cities redevelop urban waterfront to make a model of sustainable urban community in the 21st century. The purpose of this study is to investigate the main subject matter how to balance the opposite concept of ecological environment preservation and urban development in urban waterfront. Among the new millennium's urban waterfront (re)development projects, Greenwich Millenium Village(GMV) in London and Southeast False Creek(SEFC) in Vancouver were selected to cases, because they respectively represent Urban Village and New Urbanism, the theories and campaigns of community planning & design based on ESSD(Environmentally Sound & Sustainable Development). As a result, the cases have common themes; mixed-use development in land use, transit-oriented development in transportation, and restoration, preservation, expansion and connection of biotope in environment, and besides, social mix, sustainable energy, etc. And, both cases never construct new communities, damaging the existing ecological environment of urban waterfront. On the contrary, they first restored the polluted waterfront environment and later, permitted urban (re)development very limitedly to minimize environmental damage & environmental pollution. That's to say, they put environmental preservation first, and then meet the needs of urban functions & urban activities by creating compact, complex and intensive urban system. And also, there’s one other notable point. In both cases of GMV and SEFC, the main principal of urban waterfront (re)development is 'public benefit - publicness'. They understand very well that urban waterfront is very important ecological resource and public space of all citizens, and they make waterfront parks for all citizens, improve access to waterfront by walk, bicycle, bus, subway, etc, for anyone to access to waterfront easily & enjoy urban waterfront, and supply a lot of public rental houses as well as many types of condominiums, for a variety of people different with income, job, social level, life style. etc, to live together. Finally, the cases of GMV and SEFC show that they realize the environmentally sound and sustainable development, turning a polluted waterfront to a good urban place based on 'public benefit - publicness'.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.150 | 0.067 |
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".