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Michael J. Larsen, 1938–2000

2004· article· pl· W2283305410 on OpenAlexaff
J. Ginns

Bibliographic record

VenueMycologia · 2004
Typearticle
Languagepl
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsPenticton Regional Hospital
Fundersnot available
KeywordsBiologyEnvironmental ethicsArt historyArtPhilosophy

Abstract

fetched live from OpenAlex

Michael Larsen, long-time member of The Mycolog? ical Society of America, died at home in early Jun 2000. Born in Apr 1938 in London, England, to Ann Larsen and John Futter, Mike was raised as an only child by his mother and stepfather in Honeoye Falls, New York. He was active in sports and scouting, became an Eagle Scout and subsequently volunteered as a scoutmaster. In 1959 he won a gold medal at the Pan American Games rowing in the No. 4 position on Syracuse University's eight-man crew. Syracuse University awarded him a Bachelor of Science degree in botany in 1960. Mike entered the graduate pro? gram at the State University of New York's College of Forestry in Syracuse and studied the fungi causing decay of hardwood pulp bolts in New York State un? der Josiah L. Lowe. Awarded a Master of Science de? gree in 1963, Mike moved directly into the doctoral program at the college to study forest mycology un? der Robert L. Gilbertson. Thus began a 37 y associ? ation with the tomentelloid fungi (Basidiomycetes: Thelephoraceae). The resulting papers dealt primarily with alpha taxonomy and focused on the evalua? tion of species concepts, synonymy and taxonomically important morphological characters. I first met Mike, his wife Barbara, their young fam? ily and dog Scratch in Sep 1964 when I joined the Department of Botany and Forest Pathology's grad? uate students in the attic of Marshall Hall. Mike, a lanky 6 foot 6, was anything but the stereotype of a graduate student bent over a microscope making thin sections of corticioid fungi. He was well advanced in his study of the systematics of the tomen? telloid fungi, a group that essentially had been ignored 50 y in North America, but was having trouble reconciling the species concepts of his predecessors with his observations on the type specimens. At times muttering was heard from his cubicle and occasion? ally very strong language issued forth! These comments always were directed at mycologists. Mike never spoke harshly of the fungi. Although comparative

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0350.023

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 head0.014
GPT teacher head0.219
Teacher spread0.205 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2004
Admission routes1
Has abstractyes

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