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Record W2161356741 · doi:10.3366/e0260954109000977

Charles Wesley Hargitt (1852–1927): American educator and cnidarian biologist

2009· article· en· W2161356741 on OpenAlexaff
Dale R. Calder

Bibliographic record

VenueArchives of Natural History · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsHydrozoaBiologistHonourHerpetologyMedalBiologyEcologyEnvironmental ethicsZoologyHistoryCnidariaArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Charles Wesley Hargitt was born near Lawrenceburg, Indiana, USA, and died at Syracuse, New York. After a brief career as a Methodist Episcopal Minister, he carried out graduate studies in biology at Illinois Wesleyan University and Ohio University. He served briefly on the faculty at Moores Hill College and later at Miami University of Ohio before receiving an appointment at Syracuse University. Hargitt spent 36 years at Syracuse, and for 21 years was a trustee of the Marine Biological Laboratory, Woods Hole, Massachusetts. His research encompassed animal behaviour, cell biology, development, ecology, natural history, and taxonomy, as well as education, eugenics, and theology, and he wrote or contributed to more than 100 publications in science. Approximately half of these were on Cnidaria, with 41 of them on Hydrozoa. His most important works in hydrozoan taxonomy were on species of the Woods Hole region, the Philippines, and south China. Hargitt was author of three genera and 48 species and subspecies ascribed to Hydrozoa, seven species of Anthozoa, and one species of Cubozoa. Four species of hydroids are named in his honour.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.194
Teacher spread0.186 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2009
Admission routes1
Has abstractyes

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