Current Directions In Earthquake Engineering Education: The University Consortium On Instructional Shake Tables
Bibliographic record
Abstract
Although considering the dynamic behavior of buildings and bridges is of fundamental importance in modern structural design, undergraduate civil engineering students seldom develop an understanding of the way that these structures respond when acted upon by time-varying loads.Because this topic is of great social and economical importance, there is a need in current civil engineering programs to provide more formal training in structural dynamics and earthquake hazard mitigation at the undergraduate level.Further, many students in non-engineering disciplines would gain from such exposure to basic concepts in earthquake engineering.The University Consortium on Instructional Shake Tables was formed to integrate earthquake engineering into the undergraduate civil engineering curriculum.The twenty-three universities forming the consortium are cooperating to develop a series of "hands-on" experiments for students at all levels.The experiments focus on the use of a bench-scale shake table.This program is expected to serve as a national (and international) model for integrating structural dynamics and earthquake engineering into the undergraduate curriculum.
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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 | 0.061 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.007 | 0.010 |
| Research integrity | 0.010 | 0.006 |
| Insufficient payload (model declined to judge) | 0.030 | 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".