Using Phenomenological Theory for Sustainable Renovation of Historical Open Spaces in Bahrain
Bibliographic record
Abstract
Lack of understanding of phenomenological theory and sustainable pillars and bodily experience for visitors causes poor design, then a bad feeling of the spaces via their five senses. If so, the complete interaction of users with the quality of such sites will be successful. Moreover, in such schemes, designers try to encourage walkability and staying longer, and enjoy the urban atmosphere in the historical parts of cities. This study aims to achieve sustainable renovation of projects using phenomenological theory when designing historical spaces, streets, squares, and green areas, as a conceptualizing key to the success of such projects. Culture as one of the sustainability pillars is the key limitation of this study. The study used phenomenological theory to analyze the area in renovation projects in the historic district of Manama city, Bab Al Bahrain, Kingdom of Bahrain. The study analyzed the bodily experiences of users at different times of the day. Furthermore, the results of this study illustrated the distraction between users and heritage places if designers ignore the five senses of users for such areas.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.015 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".