Ethical Sustainability in Iranian New Towns: Case Study of Shushtar New Town
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
Shushtar is ancient city in Khuzestan Province at south west of Iran and is considered as a world heritage. In the early 70’s, Shushtar New Town was decided to be constructed in order to answer the residential needs on new employers of Karun Agro-Industries Corporation. The project was located across the river from the old city and Kamran Diba, an Iranian well-known architect, designed this New Town for 30,000 residents. Shushtar New Town was designed in relevant with the cultural values of Iranian civilization to maintain the continuity with its regional historical background. Architect’s high attention on the traditional, cultural, social and historical aspect of the project helped it to be introduced as the distinguish design of 20th century. Yet, how was ethical sustainability emanated in the master plan of Shushtar New Town? This research aims to examine sustainability in the design priorities and current condition of Shushtar New Town, on the basis of ethical sustainability as the most integrated and comprehensive current approach of sustainable development. To reach the aim of the research, history of new towns in Iran and Shushtar New Town are described, indicators of ethical sustainability are reviewed through relevant literature in the next step and then, the design priorities and current condition of Shushtar New Town are examined on the basis of ethical sustainability. In conclusion, suggestions are presented to re-emanate ethical sustainability in Shushtar New Town, and new developments are recommended in relate with design’s main and mostly neglected objectives.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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