Visual Assessment of Methods of Street Furniture Installation Using Kansei Engineering (Case Study: Benches in the Historical-Cultural Area of Tabriz)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Inappropriate development and rapid growth of metropolitan areas, with no facilities and infrastructure had serious negative consequences on different parts of the city that public programs organization and urban environments, including urban furniture, is considered one Sustainable urban development constructive approach that aimed at improving the quality of urban environment and various human needs. One of the humanitarian needs in urban areas creating a beautiful environment, orderly, attractive and diverse for citizens (Zangiabadi and Tabrizi, 5:2009).Our cities and metropolis filled with a variety of elements and furniture that are ugly and some beautiful that as form and diversity, have little differences in different cities. Nevertheless it can be seen that the appearance and furniture with good design, installed so ugly and carelessly, its placement has changed adornment and lose their visual effects that has adverse effects on the furniture and the beauty of the surrounding environment and which is the importance and necessity of this research.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it