Research Achievement AwardD. John Faulkner
Bibliographic record
Abstract
David John Faulkner, one of the pioneers of marine natural products chemistry and the 2003 recipient of the ASP Research Achievement Award, passed away on November 23, 2002. John was very pleased to learn that he'd been named as the award recipient and was intending to present the ASP Research Achievement Award Address at the annual meeting in July 2003, Chapel Hill, North Carolina. John's untimely death left an unprecedented event in the history of the ASP-a posthumous Research Achievement Award to a deserving individual and an untimely loss for us all. We are bereft of a colleague, a friend, and a mentor, and the opportunity to hear John's words on the occasion of his own award. In tribute to John, we have assembled a retrospective of John's work that is not meant to be a comprehensive review (this would take considerably more space) but a selection of highlights and personal vignettes from some of those that trained in marine natural products under his mentorship. This paper is a written account of the symposium presented by the authors at the ASP Annual Meeting in Chapel Hill, North Carolina, on July 16, 2003.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.117 | 0.090 |
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".