DESA1002 'Nine Quarter City' - <Anna Prowse>
Bibliographic record
Abstract
‘Half the World – Isfahan was given this name for its beautiful Islamic architecture. Mosques, palaces and gardens are the main sites of the Iranian city. The city is based around the square - Naqshe- e Jahan – which is also the basis of my site. My structure is a unique location, alongside the river and Garden Square. The building acts a ferry terminal and also a restaurant. The ground level operates as a public thoroughfare for tourists and residents to enter the garden from the river and the rest off the city. The terminal is a main spot of transport for the city. Although upstairs is a restaurant with views overlooking the garden and up the river. The building is influenced by David Chipperfield’s America’s Cup building is Valencia. The structure moulds into the site, involved with the surrounding environment – columns in the water allowing ferries to engage with the terminal. The design allows trees to almost be apart of the building – rising beneath the roof, alongside the ramp where customers arrive. The ferry heavily overhangs on the water becoming prominent image up the river - ideal for a ferry stop. The long horizontal feel to the building is due to the seemingly heavy slabs, although structurally are light. This allows for thin lightweight columns to run through the levels. The ramp continues the thick flow of the building rolling up the side of the building – providing easy access at night and out of travel times. The ramp then flows down into the public garden path into the famous square. As a visitor to the park the structure is a very horizontal, expansive structure seen on the side of the park. The structure utilises the site – the expansive deck giving extraordinary views down the river and across the park.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.116 | 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 teacher head, 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".