Assembly restoration framework for modelling circular building strategies
Bibliographic record
Abstract
Building renovations often focus on new building components, neglecting the potential of refurbished or reclaimed resources. This study develops a circular restoration framework to model different strategies for the end-of-life management of building assemblies. These strategies include: (1) Partial replacement – substituting parts of an old assembly with new parts, (2) Direct reuse–making no changes to the existing assembly, (3) Partial refurbishment – restoring old parts without undergoing a re-manufacturing process, and (4) Full replacement – purchasing a new assembly. The value of the framework is demonstrated through a window assembly example that assesses operation and embodied energy impacts of the different restoration strategies. The results show that integrated approaches, such as partial replacement and partial refurbishment, offer opportunities to mitigate tradeoff factors like embodied and operational energy. The Assembly Restoration Framework (ARF) facilitates comparative assessment of circular strategies, enhancing circular practices.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".