Remembering Prof. P. C. Sen: A Leader, Visionary, Educator, and a Mentor [In Memoriam]
Bibliographic record
Abstract
Prof. Paresh Chandra (“P. C.”) Sen, professor emeritus in the Department of Electrical and Computer Engineering, Queen’s University at Kingston, Ontario, Canada, passed away in Kingston on 22 November 2023, at the age of 85 (Figure 1). Dr. Sen was born in 1938 in Chittagong, a city in present Bangladesh, where he grew up as an orphan, eventually moving to India to attend the University of Calcutta. He moved to Canada to pursue graduate study at the University of Toronto, where he earned his Ph.D. in 1967. He joined Queen’s University as a faculty member that year and made Kingston his home for the next 56 years. For all these years, he remained affiliated with the Queen’s university, building a reputation as a leader, visionary, educator, and mentor.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.028 | 0.033 |
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".