ENGINEERED SCULPTURE : WITH A COMPLEX GEOMETRY, SUNDIAL PEDESTRIAN BRIDGE CASTS A TIMELY SHADOW
Bibliographic record
Abstract
This article describes the construction procedure of the Sundial Bridge, located in Turtle Bay Exploration Park in Redding, California. This pedestrian bridge, which was designed by Santiago Calatrava, turned out to be a highly complex engineering project, as the elegant and artistic design did not prove to be conventional or inexpensive. The bridge is stayed by a single inclined pylon located on one side of the Sacramento River without any support located in the river itself (as this would interrupt the local salmon-spawning habitat). Although originally designed by Calatrava to be constructed parallel to the river then swung on axis in to place, the actual erection took place in a more conventional fashion with the pylon constructed first with the truss being cantilevered over the pylon and then attaching the cable stays. Despite numerous difficulties in the fabrication design (as each piece of the pylon would be differently shaped and welded accordingly), the logistical planning of getting the fabricated steel from the manufacturing site in Vancouver, Washington to the bridge location in Redding, and the $25 million cost being $10 million over-budget, the bridge has turned out to be a conceptual triumph. Although contractors found these difficulties challenging, the final product proved to be not only functional by connecting both sides of the park, but also aesthetically successful.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".