Engineering Education and Civil Engineering Education from the 1893 World Engineering Congress to the 125th Anniversary of ASEE (1893-2018)
Bibliographic record
Abstract
Ira O. Baker, University of Illinois civil engineering professor, coordinated the 1893 World’s Engineering Congress (July 31-August 5, 1893) at the Chicago World’s Fair (Columbian Exposition). Highlights of the proceedings include unique engineering education papers and the Hydraulic Laboratory of the Massachusetts Institute of Technology by Professor Dwight Porter. On behalf of Division A on Civil Engineering, the ASCE President William Metcalf participated. There were six sessions held with 63 papers presented with 50 papers printed (about 1200 pages). For Civil Engineering-A, there were 318 registrants with average attendance of 125. U.S. water projects presented included deep water from Lake Ontario along the St. Lawrence Seaway to the Atlantic, new sanitary canal and river reversal from Chicago to the Illinois River to the Mississippi River, and the construction of the Nicaragua (Panama) Canal. In 1993, Terry S. Reynolds and Bruce E. Seely of Michigan Technological University presented a Journal of Engineering Education paper on: “Striving for Balance: A Hundred Years of the ASEE.” This included the search for improving classroom instruction and national spokesman for engineering education, including the engineering education deans and administrators. This presentation will feature developments in civil engineering education at the 1893 World’s Engineering Congress. Learning objectives: Identify the history of engineering education that began in 1893. Learn of the civil engineering leaders and projects featured at the 1893 Chicago Engineering Congress. Identify the progress in engineering education in the American Society for Engineering Education.
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.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.137 | 0.035 |
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".