Bolgoda chat : the founding Dean of Engineering and Architecture
Bibliographic record
Abstract
I obtained my B.Sc. degree from the University of Ceylon, and Prof. Kuruppu was my batch mate. There was only one university those days. My career at the University of Moratuwa started when the newly established Ceylon College of Technology (CCT) was started with virtually the university status, and they wanted to hire academic staff members. I was at the University of British Columbia, Canada at that time. Prof. Kuruppu sent me a letter telling that he joined CCT, and asking to join as well. I applied from Canada. Since CCT was a government institution, the Sri Lankan High Commissioner came in person from Ottawa to UBC to interview me. I completed my PhD in Electrical Engineering in 1969, and was selected for the job. Later, the institution became a campus of the University of Sri Lanka. In 1972, I was the first Dean of Engineering and Architecture. Architecture at that time was a mature department operating under the University of Colombo, and they were shifted to Katubedda, and joined with the engineering programme. Later, after my time, the faculties were separated due to growth in different directions.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.092 | 0.037 |
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".