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Record W7115564058 · doi:10.17704/1944-6187-44.2.353

THE MAN BEHIND THE SCIENCE: ERIK STENSIÖ, SWEDEN’S 20th CENTURY DOYEN OF THE STOCKHOLM SCHOOL

2025· article· W7115564058 on OpenAlexaboutno aff

Bibliographic record

VenueEarth Sciences History · 2025
Typearticle
Language
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsnot available
Fundersnot available
KeywordsDevonianTetrapod (structure)Subject (documents)Head (geology)Natural (archaeology)

Abstract

fetched live from OpenAlex

ABSTRACT Erik Helge Osvald Stensiö ( née Andersson, 1891–1984), the famed Swedish palaeontologist, scientist supremo, variously dominated vertebrate palaeontology in the twentieth century. He revolutionized his subject by carrying out pioneering fossil-collecting expeditions to the Arctic, inventing new ways of preparing, describing, analysing and illustrating fossil agnathans and fishes, notably Devonian placoderms and Triassic bony fishes, and promoting tetrapod studies. Stensiö, with his student Tor Ørvig, presented the innovative Lepidomorial Theory. As head of the Department of Paleozoology (now Department of Paleobiology) at the Swedish Museum of Natural History, he created the so-called Stockholm School with students and foreign researchers who took the ‘message’ back to their home countries. He was a pioneer explorer during the early 20th century, sometimes with his leading students, Gunnar Säve-Söderbergh, Erik Jarvik and Eigil Nielsen, collecting fossils in Spitsbergen, Greenland, Miguasha (Canada) and Podolia, building important collections and international connections. His legacy to science, and exploration are assessed.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0100.043
Scholarly communication0.0000.001
Open science0.0050.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.224
Teacher spread0.208 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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