Bibliographic record
Abstract
The paper discusses the role of trans-disciplinary research networks tackling the challenges of sustainable renovation such as; environmental impact of substitute building materials and waste, relocation of tenants, lack of skilled labor, rent increase due to high renovation costs, and provides a detailed perspective on the effects in terms of both new forms of collaboration and research results obtained by the researchers and practitioners within the network. The research network Sustainable Integrated Renovation SIRen has become a platform for researchers and actors such as building owners, housing companies, facility managers, contractors, consultants, architects, building conservationists, authorities and tenants’ organisations to meet and work together on technical, environmental, economic, social and cultural historical aspects on renovation of buildings, as well as to identify and discuss new challenges. A multi-aspect process covering all aspects that must be considered by the various actors during different stages of the renovation process has been developed and implemented in four ‘Living Labs’ in real renovation projects. This involved using new modes of work in early stages to place the focus on sustainability aspects and work on new dialogue methods and using methods to evaluate the various renovation options based on technical, environmental, economic, social and cultural historical perspectives.
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.
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 | 0.005 | 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) | 0.000 | 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".