Stephen J. Klaine
Bibliographic record
Abstract
Steve spent more than 30 yr conducting environmental research and educating graduate students.He has graduated 40 doctoral and 45 master's students from his laboratory.He usually had more students at Society of Environmental Toxicology and Chemistry (SETAC) meetings than any other professor, which meant more presentations than from any other university!Steve was all about his students and their research.Every SETAC meeting had an evening for the Klaine tribehis current and past graduate students and a host of colleagues from around the globe.As a doctoral student with Herb Ward at Rice University he had the prestigious duty of being the first official photographer for the first SETAC meeting held in Washington, D.C.He served on SETAC's Board of Directors and was an editor for Environmental Toxicology and Chemistry since 1995.He was also on the editorial board of the journal, Nanotoxicology.The review paper he led on nanomaterials in the environment has the distinction of being the most highly cited paper of Environmental Toxicology and Chemistry in the journal's 35 yr of publication!From 1995 to 2000 he was the only US participant on a multinational International Atomic Energy Agency Cooperative Research Program on Pesticides in Coastal Tropical Ecosystems.He served on several US Environmental Protection Agency (USEPA) science advisory panels and workshops dealing with pesticide and metal fate, effects, and risk assessment, and also chaired the USEPA Science Advisory Panel for The Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA).He was a Sigma Xi National Lecturer, won the Clemson University Sigma Xi Researcher of the Year Award, and the Clemson Alumni Award for Outstanding Research.He was the SETAC Menzie Environmental Education Award winner for 2013 and an inaugural member of the SETAC Fellows Program.Steve's research program was impressive, with over $10 million in extramural funding and over 120 peer-reviewed publications.Steve was also committed to international student outreach-teaching in Cuba, Jamaica, Canada, Portugal, Vietnam, Africa, and Australia.His efforts at capacity building over the last 15 yr in Vietnam resulted in the first collaborative master's program in environmental toxicology between Hanoi University of Science and Clemson University.Few individuals have had a more positive worldwide impact on environmental science, teaching, and mentoring of students.Steve Klaine has touched the lives of so many in a positive way.We will miss him, but never forget him.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.192 | 0.116 |
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".