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Record W2042827388 · doi:10.3366/anh.2014.0245

Axel Elof Jäderholm (1868–1927) of Sweden: educator, hydrozoan zoologist and botanist

2014· article· en· W2042827388 on OpenAlexaff
Dale R. Calder

Bibliographic record

VenueArchives of Natural History · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsHydroid (botany)HydrozoaEcologyZoologyBiologyBotanyCnidaria

Abstract

fetched live from OpenAlex

Axel Elof Jäderholm was born in Söderhamn, Sweden, on 24 July 1868. In 1888 he entered Uppsala Universitet, earning undergraduate (1892) and doctorate (1898) degrees. His doctoral dissertation was based on an anatomical study of South American Peperomia (Piperaceae). While a graduate student he commenced research on hydroids in collections at the university's natural history museum. A science teacher by profession, he served schools in Uppsala (1900–1901), Norrköping (1901–1905; 1913–1927), Örebro (1905) and Västervik (1905–1913). In addition to teaching, he undertook research in botany (especially mosses) and zoology (hydroids). A focus of work between 1903 and 1905 involved examination of hydroid collections at the Naturhistoriska Riksmuseet (Stockholm) and the Imperial St Petersburg Academy of Sciences (Russia). Jäderholm's field work dealt largely with bryophytes, although his scientific publications (21 of 28) were mostly on taxonomy of hydroids. His hydroid work was mainly on species from northern Europe, the Antarctic and sub-Antarctic, southern regions of South America, and the western Pacific (especially Japan). He established two new genera and 69 new species of hydroids, a majority of the latter still being recognized as valid. Jäderholm was created a knight of the Order of the Polar Star (Riddare av Nordstjärneorden) in Sweden for accomplishments in science and education. After suffering a series of acute illnesses over the last two years of his life, he died in Norrköping on 5 March 1927 and was buried in Uppsala. Five species of hydroids have been 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.892

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 head0.009
GPT teacher head0.189
Teacher spread0.180 · 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
Published2014
Admission routes1
Has abstractyes

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