Use of failure case studies in a construction management course
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Reasons for including failure case studies within the undergraduate engineering curriculum have been made by various authors, which has led to the inclusion of structural failure cases into some analysis and design courses. However, there is also a need for Civil Engineers to understand project management issues. This paper deals with the integration of failure case studies into a construction management course. In addition to catastrophic failure case studies, such as the Hyatt Regency Walkway Collapse (Kansas City, Missouri) and the L’Ambiance Plaza Collapse (Bridgeport, Connecticut), the course makes extensive use of the Montreal Olympic Facility design and construction to demonstrate how deficiencies in the design and construction process can lead to extreme constructability problems and exorbitant cost overruns. The author also shows how the inclusion of the case studies addresses some of the more difficult areas to address in the Accreditation Board for Engineering and Technology (ABET) evaluation criteria.
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.
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 it