High density architecture as local factory of circular economy
Bibliographic record
Abstract
For at least two decades, Chile has witnessed intensive processes of urban regeneration, mainly by a densification of vast areas.This article offers a new review of residential densification, not through the lens of building height or architectural massiveness, but rather by considering residential density as an opportunity to introduce circular economy cycles on a local scale.The article supports the hypothesis that a building, with a high concentration of households, is a chance to induce a smallscale alternative, which is less time consuming and demands less coordination than other initiatives that require system-wide innovations.In order to better extract the maximum value from resources, to recover and regenerate products and materials, it seems common-sense to design a process as close as possible to where the resources are used, as well as look into the architectural design of residential buildings and evaluate the degree of needed adaption to transform high density architecture into a local factory of circular economy.Focusing on a single case study in the city of Santiago, as an exercise of adaptation, the aim is to create a waste reducing design, with the possibility of redefining products and services.
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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 | 0.000 |
| 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 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".