Socio-Economic Indicators for the Ex-Post Evaluation of Brownfield Rehabilitation: A Case Study
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
The reuse of brownfields is becoming a necessary option to meet the current requirements of urban densification and for the preservation of agricultural land, as well as for improvement in the quality of life. The purpose of this article is to evaluate the main objectives and benefits of a rehabilitation project implemented in Canada. The rehabilitation of the brownfield site Lachine-Turcot-Petite Bourgogne in Montréal was analyzed according to four indicators (revenue, average cost of rent, rental usage, and home resale price). The findings of the study demonstrate that the expectations (socio-economic benefits derived from Southwest borough—City of Montréal) of the local community were not respected and that the initial objectives of the project changed during its implementation. In particular, the average rent increased considerably after four years, by 165.47% in the period 2001–2006. The percentage of resident homeowners increased from 89% to about 95% in 10 years, and in the 1996–2014 period the total income per household increased from about $25,000 to about $78,000. We propose an evaluation tool that integrates an ontology of the elements necessary for decision-making and local indicators related to the environmental and socio-economic components with the goal of meeting the expectations of the local community.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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