CHEONGGYECHON RESTORATION AND URBAN DEVELOPMENT Young-Nam LEE, Executive Vice President
Bibliographic record
Abstract
ABSTRACT: The design and construction aspects of the Cheonggyechon Restoration Project in Seoul, Korea are presented in this paper. The Cheonggye-chon(‘chon ’ means a stream) is a stream that flows from west to east across the northeastern quarter of Seoul. It had been covered by a concrete deck structure, served as a roadway that had been one of the capital's major arterials. An elevated expressway above the road was built to handle increased traffic loads. Due to several reasons, it was decided to remove the concrete roadway and the elevated expressway, and restore the environmental health of the stream. This renewal project not only brings environment-friendly eco-system to the area, but also promises a new economic life into the area. It is the largest urban renewal project in Korean History. This work will include dismantling the elevated expressway, removing concrete structures covering the stream, constructing a total 21 bridges across the open stream, maintaining roadways of two to three lanes on both sides of the stream, providing new landscape and lighting system. The project started on July, 2003 and is to be completed on September this year. The Project is expected to achieve goals for restoring the stream, bringing old history and culture back, allowing more pleasant life to citizens and opening up a new and bright economic future to the area.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.006 |
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".