Raising Red Hook: Preserving a Neighbourhood on the Edge of the World
Bibliographic record
Abstract
After spending time in New York City one quickly becomes desensitized to its characteristic congestion, and must seek out stillness: an increasingly rare commodity. I found stillness in New York City while on a journey to Sunny's, one of the city's oldest bars, located in the isolated Brooklyn neighbourhood of Red Hook. Red Hook's small town feel is entirely anti-Manhattan, yet its waterfront views of Lower Manhattan remind Red Hook that its unique identity was born out of its proximity to Manhattan. The future of Red Hook's identity is uncertain as it is vulnerable to the forces of gentrification and climate change. Most of this low-lying coastal neighbourhood is predicted to be inundated by the ocean as soon as the year 2050. This thesis investigates Red Hook's identity as one of the most unique places in New York City through narratives of its past, present and future. These narratives propel the proposal of architectural methods for preserving Red Hook's identity in a speculative and flooded future.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".