DESA1002 'Nine Quarter City' - <Tina Zheng>
Bibliographic record
Abstract
Delta was originally inspired by site plan G6 of the New York City block. I selected the triangular site as it as the most conventional shape. I was inspired by a proposed high rise in Singapore by Rem Koolhaas, in which he had elevated sections of his building to decrease the footprint of the building. I too have adapted this idea so that the area under the raised buildings could be used by vendors and street performances and saves sidewalk space from become crammed as they usually do in NYC. I decided that a steel structure with a glass façade would be most appropriate for my building as it is situated in New York and has a more modern look. I choose to use vertical steel trusses for the structure of my building, as it enhanced idea of the triangular shapes. I thought that using flat glass would not compliment my building as much as a more textured glass, thus I have clad my building with glass in an irregular zigzag form. In doing this, I have allowed issues of privacy to be solved, as residents no longer have to worry about being seen through the glass. I designed a bridge across the canal to connect the two parts of my site together. It also allows the use of the garden by people not only from my site, but from neighboring sites as well. I designed the bridge with a curve, rather then a flat bridge to allow ferries to be able to fit through the bottom. The garden was designed to be a sanctuary. An oasis in the busy city of NYC, especially because it is in the center of the city, and it is fairly accessible from other sites with the use of the footbridge. Business people can relax here during there lunch breaks and take a walk through the tree walk, or play a game of chess.
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".