A semiological analysis of urban space in transitional cultures, a case study of Tashkent's city centre
Bibliographic record
Abstract
The thesis examines the issues of architectural and urban semiotics in Tashkent, Uzbekistan. It reviews and analyses the changes that have occurred from the onset of Russian rule to the present (2000), summarising the changes in the urban fabric that have occurred prior to Soviet rule, during Soviet rule, and since Perestroika. The inquiry is driven by the reclamation of urban and cultural identities in light of the lifting of a hegemonic rule. The author performs a semiological analysis of urban space and artefacts, interprets the results and presents a design intervention for Tashkent's city centre. The literature review undertaken prior to the empirical research is thorough and considered to be sufficient in providing information to serve this research as well as future endeavours in this area of study and in architectural and urban semiotics. The aim of a defined case study is to provide enough information as to allow the reader to develop thoughts beyond those of the author. This is done with a review of various sources of information, all of which are felt to be critical to the development of a comprehensive understanding of Tashkent's urban cultural identity. The design intervention is intended as a starting point for future discourse addressing the expression of cultural identity through urban artefacts and organisation in Tashkent's city centre. While the design intervention proposes an urban design and organisation, it should not be interpreted as an event or artefact that is itself a solution. Rather, the intervention is intended to challenge readers and provide a medium through which readers propose alternative ideas.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".