Mapping Industrial Legacies: Building a Comprehensive Brownfield Database in Geographic Information Systems
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
Abstract Brownfields, land containing both actual and perceived contamination from former uses, pose hurdles to redevelopment, but are worthy of consideration due to their potential for aiding inner-city regeneration and providing alternatives to suburban sprawl. Yet the extent of the brownfield land problem is unknown in many cities, and relatively little research has systematically described efficient and effective ways to identify these sites. We demonstrate how a geographic information system (GIS) can be used for the identification and management of a brownfield database. A series of historical fire insurance plans and city directories for successive eras of development are incorporated in the GIS to provide extensive documentation about the location and condition of brownfield land. Such a system offers planners a powerful set of spatial–analytical tools to comprehensively describe the brownfield land situation, as well as being expandable and adaptable to document the general evolution of the urban landscape.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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