Bibliographic record
Abstract
Nowadays, it is widely recognized that brownfi elds revitalization has the potential to promote sustainable growth especially in urban areas.Nevertheless, given that state and local authorities operate within an increasingly tight fi scal environment, brownfi elds become often of low priority, unless there exist signifi cant human health and ecosystem threats, and remain degraded and underutilized.In order to confront this situation, it is vital for the responsible authorities to justify the necessity of redevelopment projects in 'hard', that is monetary terms.Toward this direction, not only economic but also social and environmental benefi ts should be monetized by means of market and non-market valuation methods.The paper presents two case studies, the redevelopment of a former metallurgical complex to a Technological and Cultural Park and the potential reuse of the former Athens International Airport as a Metropolitan Park, as a means of highlighting the emerging value of brownfi elds regeneration.The results indicate that both projects, when examined from a social point of view, create an economic value and contribute signifi cantly toward sustainable development.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".