Bibliographic record
Abstract
Nowadays, vulnerability of cities to earthquake, especially in deteriorated urban areas, has become a global issue for the experts of different fields.Tehran's Beryanak neighborhood as an old and worn-out texture, with perfect green spaces, is exposed to the risks of earthquake.Given the role that parks and green spaces play, by providing immediate shelter and escape for the residents and as there are numerous parks in Beryanak neighborhood, this area was chosen and its green spaces were analyzed.But every park should have some features to be more functional and usable during an earthquake and its aftermaths.In this study, a good park's physical and functional criteria for its performance against an earthquake and after it are introduced, and then using Analytical Hierarchy Process (AHP) the neighborhood's parks are evaluated and prioritized in terms of these criteria.The obtained results suggest that the physical criterion, compared to functional criterion, has more weight in terms of its function during and after earthquake.Similarly, the neighborhood's Hezarshahid Park, due to the low number of its floors and as its surrounding buildings are new, as well as because of its large size and fairly regular geometric form is quite functional during and after earthquake.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.949 | 0.933 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".