Metis: Vessels: Yisabu Dokdo Memorial Park, International Competition, Samcheok, South Korea
Bibliographic record
Abstract
Vessels is an architectural proposal that responds to an international architectural competition for a new Yisabu Dokdo Memorial Park for the city of Samcheok, South Korea. The project was one of five projects selected from an international field. It was awarded an Honourable Mention and selected for publication. Yisabu Dokdo Memorial Park is imagined as a new landscape defined by the presence of three large timber volumes that are elevated slightly above the ground. These Vessels recall the hulls of ships such of those the Navy of Silla. Their upturned forms shade and shelter areas of this new landscape and beneath them cluster the programmatic halls - delicate glass vitrines illuminated by the low light that enters under the Vessel ‘s lower edge. The spaces between these halls form gateways that guide visitors into the park. The project was designed and developed by Metis, the Atelier for Art, Architecture and Urbanism founded by Mark Dorrian and Adrian Hawker.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.599 | 0.170 |
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".