Bibliographic record
Abstract
V ilas Mujumdar is a math wizard.As a child growing up in Indore, India, he excelled in his math classes, completed high school at 14, and broke records with his math scores in college."It was what I wanted to do with my life, teach math," he says.It wasn't a common path in those days and no one of his family had a math background, but in the early 1960s, engineering was a very lucrative profession."All my friends were doing civil engineering, so I did it too," he says.Mujumdar completed his master's degree at the Indian Institute of Technology, Roorkee, at the age of 21.He imagined that he would spend his career building massive bridges, dams, and canals in his fast-growing home country, and his first job was with a design-build company in New Delhi, where he spent three years designing and building long-span bridges in prestresssed concrete.Soon, though, he was eager to see more of the world.He landed a job in the United Kingdom with Donovan Lee, inventor of the Stressteel system.He sat for the 16-hour exam to join the Institution of Structural Engineers and was excited to learn that he had passed."It was very prestigious," he says, but in the end he wasn't allowed to join because he was only 24, one year shy of the minimum age.Fed up with the bureaucracy in the United Kingdom, Mujumdar left London for Canada and landed a job in Montreal with a precast concrete manufacturer responsible for constructing Habitat 67, the first total-precast concrete housing complex designed by Moshe Safdie.The project won many awards and became a historical landmark."We worked 24-7 on that project.It was very demanding," he says.Shortly after the project was finished in 1967, the economy in Montreal sank, so Mujumdar made his way to the United States, where he worked for Modular Constructors Inc. as the general manager and submitted a proposal for the Operation Breakthrough competition hosted by the Department of Housing and Urban Development to encourage innovation in creating mass-produced housing."We didn't win," he says, but the firm went on to produce precast concrete single and double tees and other precast concrete elements for the construction industry.Happy with his location, Mujumdar stayed in the United States for the rest of his career.Over the decades he designed numerous structures in precast concrete, nationally and internationally, and held roles as CEO, president, and partner in many
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.553 | 0.344 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".