Roy Green, interviewed by Tom Spurling, 3 April 2017
Bibliographic record
Abstract
Roy Montague Green was born in Ilkeston, England on 25 October 1935. He talks briefly about his childhood in Ilkeston, his secondary education at Ilkeston Grammar School and his university studies at Liverpool University. Roy’s first job was as a trainee engineer with Westinghouse in Hamilton, Ontario, Canada. He tells how he decided that he did not want to be an engineer, so enrolled as a PhD student at the University of Toronto. His work was all about the detection of low levels of radiation in people or foodstuffs. It ‘was really to do with chasing where the atomic bomb fallout went.’ He describes his decision to accept a position at the AAEC in Lucas Heights and his journey to Sydney from Toronto via England and Perth, where he married Robin Wendy Shields, and his subsequent decision to leave the AAEC. He returned to Canada to work in the RCA Research Laboratories in Montreal. It was as the Director Research Program Development, that he developed skills that were very useful in his future roles. Roy came back to Australia in December 1971 to establish WAIT‐AID Ltd, the technology transfer company of the then Western Australian Institute of Technology. He discusses his approach to enlisting the staff to external engagement. There follows a section where Roy talks about his move to the Commonwealth Public Service in Canberra in 1975 during the final months of the Whitlam Government, and his subsequent roles at ASTEC and the Department of Science and Technology. Roy recounts his recruitment to CSIRO as the Director of the Institute of Natural Resources and the Environment, his successes in building large externally funded projects and his brief time as Chief Executive of the Organisation.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.050 | 0.017 |
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".