Pathways for sustainable housing transformations : An international comparison of retrofitting strategies for (social) housing
Bibliographic record
Abstract
The importance to address Europe’s large stock of aging, deteriorating and highly energy inefficient housing stock in order to reach goals for climate change and sustainable development is today widely accepted. This recently initiated research project will review cases of sustainable housing transformations in existing post-war housing stocks in Europe and other developed countries (i.e. USA, Canada, etc.) in which both environmental and social issues are addressed with an emphasis on affordable living. The focus is on process issues and on prime movers among housing associations and their role as construction clients in driving self-sustaining innovation processes to reach more sustainable housing transformations: how they support and drive innovation, learning and implementation in relation to this issue, and if their strategies are replicable for a larger selection of housing owners in an international perspective.This paper presents preliminary findings based on two case studies of prime movers among housing associations, one in the Netherlands and one in Sweden, that have carried out sustainable housing transformations. Based on literature on environmental innovation in construction and on a model to change individual behaviour in planning interventions by Green and Kreuter (1999) we have developed a framework for analysis of housing associations’ behaviour. This tentative framework singles out: predisposing, enabling, reinforcing, responsive and inhibiting factors as well as factors that will support the transferability and replicability of results. The findings will be used for the further development of the framework to be used in the continuation of the project where more cases in Europe and internationally will be studied and analysed.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".