Bibliographic record
Abstract
Urban furniture is the most common term applied in the field of urban equipment in Persian.This equipment in countries like the UK and US is known as street, public, or open space furniture, which is known as the constituent elements of urban space.Organizing urban elements and furniture in the urban space is done with expert like studies along preserving the historical identity of each civilization that is the result of legacy and civilization of our ancestors in this city.This way one can create a delightful, charming, and identity-based atmosphere while creation of ease of mind for citizens based on native and cultural values of citizens and residents.Considering the problems of urban life and psychological perturbations of the people living in large cities due to environmental problems and various visual disturbances, urban planners today have been prompted to take action in order to create space to meet all the needs of city residents by considering environmental and cultural conditions prevailing in each region.One part of this organization is in the field of urban furniture, including the proper identification and replacement after studying, hypothesizing, and placement of production and installation that are the final stages of this process.Semnan is a great city with ancient historical, cultural, and Islamic backgrounds with its own special features.Given the extent and population of this city, the design of physical space of the city regarding streets, sidewalks, parks, and public spaces is of great importance and sensitivity.Moreover, according to studies on urban space, there is a dire need of revising the type and arrangement of urban furniture and organizing it according to climatic, cultural, social conditions, and urban identity, which should be concerned by urban managers and planners.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.976 | 0.982 |
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".