Bibliographic record
Abstract
The spatial planning of the city is the result of crystallization of the citizens' mentality in their collective environment and space.Each civilization dominates a purposeful order that is raised from their perception about the world, society and urban elements in their living environment.The most important reason for cities difference is their different spatial planning that has emerged due to the differences in the order of each city as a system.This study aims to determine the hierarchy of the spatial planning of the district No.2 of Hamadan in terms of establishment of land use.This research is an applied study.This type of study can be used to carry out reforms in the organization physical, economic, social, etc aspects.Based on a comprehensive understanding of the spatial planning of the city, this study is trying to make and deliver the right policies and strategies to guide urban development.Due to the lack of a coherent a spatial organization in district No. 2 of Hamadan, it was suggested that this district takes shape of a total six regions which are consisted of three sub-neighborhood and six areas formed two districts that totally make up the six areas that required use of each of them was allocated in proportion to population centers, areas, neighborhoods and subneighborhoods.It is essential that urban management systems, by completing and upgrading what is presented in this article, in decision making, scrutinize the spatial organization of every city location data and avoid transient decisions and mere attention to the small scale without considering the role of each section in the further and more massive layout.
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) | 0.001 | 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 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.969 | 0.966 |
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".