Responsiveness and Adaptability of Housing Spatial Design to New Emerging Functions: The Case of COVID-19 Pandemic
Bibliographic record
Abstract
The paper aims to measure the ability of housing design in Palestine to respond to any emerging functions and needs and the ability to adapt to new and possible sudden lifestyle changes. Four different interior house types were analyzed, two refer to the traditional approach of the closed plan, and another two types refer to the modern approaches of the open plan in terms of adaptation to new needs. These needs are adaptability to work from home, flexibility to change, separate or merge functions, and the adaptability to respond to health issues like quarantine. The study adopts the method of architectural analysis and questionnaire to measure people's opinions about all types in terms of sudden functions. The study takes the COVID-19 pandemic conditions as a case study. The main finding of the study is establishing a relationship between style of housing spatial design and the ability for adapting sudden changes in lifestyle. It shows that the traditional designs adapt to most changing lifestyles successfully, the independent guest room was converted into an office or guaranteed room. Moreover, the modern open plan house design with a T shape of the day wing is the best choice for adapting to the post-COVID-19.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".