Integration of a Consultancy Hydrotechnical Scale Model into Teaching Hydraulics
Bibliographic record
Abstract
This paper reports on the integration of a consultancy physical model of a hydrotechnical structure into teaching material at a Malaysian engineering university. A significant part of the syllabus for hydraulics in the Civil Engineering Department, Universiti Teknologi PETRONAS, Malaysia is dedicated to the hydraulic design of energy dissipation structures and spillways. The designed lessons are supported by a series of lectures and a case study involving homework, laboratory demonstration and field visit. Furthermore, the legacy of a real-world consultancy project on scale modelling of a large flow regulating pond is integrated into the course. A significant part of the modelling investigation was the laboratory reproduction of an adverse erosion process below a large stilling basin and its concrete apron. Following the completion of the consultancy project, the facilities have been used for hands-on lessons on hydraulics. Students’ responses towards this innovative teaching approach are presented and discussed.
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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) | 0.000 | 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".