Bibliographic record
Abstract
Built environment does not "simply appear overnight, like a movie-set\nspringing up on a vacant lot, but has to be produced".Thus, the first\npoint in dealing with such an environment is considered to be the\ntracing of time in the evaluation of the city and keeping in mind that\nthe whole is more than its parts. The last point becomes naturally\nunderstood when the process of city building is probed; because the\nnotion of process in itself comprises the relatedness among the\nsocio-cultural events that resulted in urban artefacts. This also means\nconsidering a large number of factors, especially socio-cultural ones,\ninvolved in this process. By doing this, we can relate the physical\nenvironment with the social, "relating the world of artefacts with the\nworld of people" - who built and used them Considering this argument,\nthe paper examines structural elements influences on the development\nand use of urban space in Qatâr-chyân quarter, Sanandaj, Iran\nas a historical narrative. It is argued that the existence of\nDara-bayân River, socio-political role of the Wakils' family and\nUlamâ (educated people with religious backgrounds), and the\ncontinuation of principal route, through the residential segregation,\nformed and drove the phases of quarter's development and defined the\nmain socio-spatial structural elements of the quarter. The paper then\nproceeds to examine those structural elements as they were before\noverall influences of modernism in Iranian context, especially before\nthe first cross-roads of the city in 1930. The paper concludes that, in\ndefining and conceptualising the structural elements of a particular\nbuilt environment, it is difficult to rely on one factor. While the\nrole of nature as form giver is an important factor, we can not\nundermine other soft factors, especially socio-cultural ones. This\ndefines the nature of built form which comprises both the realms of the\nphysical and the social and multi-dimensions background namely as\nsocio-spatial factors.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".