Bibliographic record
Abstract
In the realm of housing, the concept of adaptability has emerged as a pivotal solution to address the evolving space needs of households. The hypothesis and contribution that this paper puts forward is that dwellings can be designed to accommodate society’s demographic transformation and facilitate the evolving interior space needs of their occupants. It investigates the concept of Life Cycle Homes manifested through designs of flexible living spaces that can be easily modified to align with the changing dynamics of family structures over time to achieve user satisfaction, circularity, and sustainability. The investigation begins with an exploration of contemporary demographic shifts and variations in family sizes. The discussion underscores how different types of families interact with their homes, highlighting the necessity for adaptable housing solutions. The paper then continues with the study of past theories and application in adaptable housing, most notably through the work of Habraken and Japanese housing innovation. A detailed examination of various flexible housing strategies is presented, focusing on innovative approaches like demountable partitions. These strategies are instrumental in creating versatile living spaces that can seamlessly adapt to households’ diverse and dynamic requirements. Following a research and development process, and as part of the methodology, the paper introduces the Life Cycle Home project that was conceived by the author to illustrate a practical implementation of adaptable housing strategies. The three-floors home exemplifies how flexibility and versatility can meet the changing needs of homeowners, offering a blueprint for future residential design.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".