Professor Lloyd A. Horrocks: (July 13, 1932–August 18, 2007)
Bibliographic record
Abstract
The international neurochemistry community has lost an outstanding neurochemist, who was a leader, organizer, and teacher and who nurtured many neurochemists in USA and around the world.Professor Lloyd A. Horrocks, who established collaborations with the worldwide scientific community in the area of lipid neurochemistry, died unexpectedly on 18 August 2007 at the age of 75 in Columbus, Ohio.He was a man of many admirable qualities, known for his keen, yet dry sense of humor.He was a quiet man who used the minimum number of words in his conversation, yet always conveyed a meaningful message to his students, colleagues and friends.Dr Horrocks was a mentor and a friend to most of us and therefore his sudden passing away has deeply saddened his students, colleagues, and friends.Dr Horrocks was born in Cincinnati, Ohio on 13 July, 1932 and into a small family with two sisters.He grew up in Michigan and Illinois and was the son of a YMCA administrator.He obtained his B.A. degree at Ohio Wesleyan University, Delaware, Ohio, 1949-1953 (with Honors in Chemistry).He obtained his Masters degree in 1953 with Professor J. B. Brown at The Ohio State University, Columbus, Ohio.He stayed in the Department of Physiological Chemistry and obtained his PhD degree in 1960 under the guidance of Professor David G. Cornwell.His graduate studies were devoted to the characterization and analysis of fatty acids.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.396 | 0.323 |
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".