Interaction between Fluid Urban Spaces and Reduction of Vulnerability to Risks and Threats in Urban Crises
Bibliographic record
Abstract
Tremendous technological developments in contemporary world have transformed all aspects of human life. Through interaction with these developments, living spaces should correspond to science and technology and serve to satisfy basic human needs especially safety and security. Due to their geographical and political situation, many countries have been exposed to a variety of natural or man-made threats, and have suffered heavy human and financial losses. For that reason, urban developments should make use of digital architecture products and create fluidity in order to modify human living spaces in correspondence with prerequisites of passive defense, for vulnerability reduction, and expansion of defensive measures in order to create an environment which holds the potential to overcome crises. The present research investigates the benefits of digital technology in formation of living spaces and the impact of approach to flexible urban spaces on mutual interaction between man and environment, as well as the extent to which these transformations create a sense of security and reduce vulnerabilities in urban crises. Fluidity of environment is in paradigm with active human responses to environment. The need for creating an environment safe from risks and threats is the motive behind the approach to flexibility with the use of technological advent. As a part of environment and by relying on computers and geometrical language, technology generates forms which are manifested in all parts and elements of living spaces, thus creating potential and elastic environments. It seems that by creating flexible spaces with the use of digital products, these environmental changes lead to organization of development plans, reduce vulnerability against natural risks and man-made threats, increase efficiency after said threat is realized, and significantly contain the extent and intensity of damages and losses.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".