Harmonization between architecture and nature through traditional japanese screens
Bibliographic record
Abstract
Harmonization between architecture and nature is one principle deeply rooted in traditional Japanese architecture, infl uencing all aspects of space creation. Buildings are not seen as individual objects, but as part of the existing environment, resulting in the development of design principles which enhance these qualities. Although there are many components in traditional architecture which promote these principles, one of the most important ones is boundaries. Through the precise control of boundaries, a space can be given a new meaning and even perceived in a new manner. Traditional screen systems known in Japanese as 'shoji' give spaces the fl exibility needed to adapt to a changing environment, given the inhabitants control of views, illumination and ventilation. This adaptability of traditional spaces has been studied through a case study of a single tea room, which was then simulated through 3D modelling software, permitting the analysis of the space during different times and seasons. The results highlight the important design principles used to improve the interaction of spaces, while showing possible applications in urban spaces in the creation of adaptable screen systems suited towards a constantly changing environment.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".