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Record W2903919323 · doi:10.1093/ae/tmy066

Dr. Lloyd Vernon Knutson (1934–2018)

2018· article· en· W2903919323 on OpenAlexaboutno aff
Richard L. Ridgway, William L. Murphy, Jean-Claude Vala

Bibliographic record

VenueAmerican Entomologist · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsGenealogyHistory

Abstract

fetched live from OpenAlex

Lloyd Vernon Knutson was born 4 July 1934 in Ottawa, Illinois, and died 10 January 2018 near Gaeta, Italy, after a brief illness. Son of Floyd V. Knutson and Jennie J. Valesano, he was preceded in death by both parents and his sister, Phylliss A. Baker, and is survived by his spouse, Edmea Demeglio Knutson, Gaeta; son, David R. Knutson, Poolesville, Maryland; daughter, Kari L. Kopp, Arden, North Carolina; brother, Gary B. Gaffney, Sandwich, Illinois; and seven grandchildren. Dr. Knutson earned a B.A. from Macalester College (St. Paul, Minnesota) in 1957, an M.S. from Cornell University in 1959, and a Ph.D. from Cornell in 1963; his dissertation was on the biology of European snail-killing flies (Diptera: Sciomyzidae). He worked for Cornell University (1963–1967) as a research associate before joining the Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), in 1968. As a research entomologist, he worked in the ARS Systematic Entomology Laboratory (1968–1973) at the U.S. Museum of Natural History in Washington, DC, researching the systematics of flies important in biological control. He spent 1972 on leave from ARS, serving as resident ecologist for the Smithsonian. In 1973, he became Chief of the Systematic Entomology Laboratory and later Chairman of the Insect Identification and Beneficial Insect Introduction Institute in Beltsville, Maryland. There he continued his lifelong passion—studying snail-killing flies—while engaging in a wide range of other important activities. He spent 1983–1984 on leave from ARS, serving as program director of the Systematic Biology Program, National Science Foundation, Washington, DC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.145
Threshold uncertainty score0.484

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1450.050

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.

Opus teacher head0.054
GPT teacher head0.281
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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