Adaptive Reuse of Industrial Heritage in the era of Radical Climate Change Related Urban Transitions
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 adaptive reuse of industrial heritage, a critical component in addressing radical climate change-related urban transitions, is increasingly pertinent. This paper distinguishes ‘urban transitions’ from ‘urban transformation,’ emphasizing a more gradual, adaptive approach to urban development under the pressures of climate change. It explores the repurposing of industrial buildings and spaces, maintaining their cultural and historical value while meeting current urban needs. Through a mixed-methods approach, the paper analyses how adaptive reuse contributes to sustainable urban development, examines the scale and impact of such projects from local quarters to city-wide implications, and discusses the potential negative consequences, including gentrif ication. The study spans various global regions, including Europe, the United States, Latin America, Canada, and Australia, using case studies to illustrate the effectiveness of adaptive reuse in promoting sustainability, revitalizing urban areas, and preserving cultural heritage. The paper questions the viability of traditional long-term sustainable urban development strategies in the face of rapid environmental and societal changes, suggesting a potential need for paradigm shifts in urban planning.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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