Bibliographic record
Abstract
A brief account is given of John O'Sullivan's short but high-impact career.A link is provided to the video-recording of the ceremony at which he was posthumously granted the Pioneer Technology Award from the US Missile Defence Agency.The citations attest to his important technical and societal contributions.The Terminal High Altitude Area Defense (THAAD) anti-ballistic missile defense system was developed by the USA and is now in use in Hawaii, the Middle East and South Korea.The THAAD interceptor system does not carry a warhead; its kinetic energy of impact destroys the incoming missile, and minimizes the risk of exploding conventional missiles, or detonating nuclear tipped ones.A UCC-educated academic-turned-scientist played a central rôle -until now unknown to his peers -in developing the THAAD system.John J. O'Sullivan was one of 13 children of a gardener who worked at Garnish Island, Glengarriff, West Cork.He was born in 1948.After receiving his PhD in the USA, he did a stint as an academic, but switched to defence work in the Washington DC area at age 32.He died at age 58 in 2006, two years before the Terminal High Altitude Area Defense system was first deployed.Because of the under-the-radar nature of his work, conventional measures of John's 'footprint' do not apply.This note is meant to make his impact better known, and 2020 Mathematics Subject Classification.01A70.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.020 | 0.012 |
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".