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Record W3191700282 · doi:10.3390/taxonomy1030017

British Naturalist Laura Roscoe Thornely (1860–1951), Taxonomist of Hydroids and Bryozoans

2021· article· en· W3191700282 on OpenAlexaff
Dale R. Calder

Bibliographic record

VenueTaxonomy · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsRoyal Ontario Museum
FundersUniversity of LiverpoolSmithsonian InstitutionNational Science Foundation
KeywordsBryozoaHydroid (botany)HydrozoaFaunaTaxonomy (biology)EcologyGeographyBiologyOceanographyZoologyCnidariaBotany

Abstract

fetched live from OpenAlex

Laura Roscoe Thornely was born on 6 March 1860 in Blundellsands, Lancashire, England. On approaching age 30, in the late 1880s, she became interested in the taxonomy of hydroids and bryozoans under Prof. W.A. Herdman at University College, Liverpool. Her studies during much of the 1890s were based largely on the relatively well-known fauna of the boreal northeastern North Atlantic Ocean. Around the turn of the century, however, her focus shifted to collections from the species-rich tropical Indo-West Pacific region, the hydroids and bryozoans of which were then little-known. The publications by Thornely on hydroids from the tropical western Pacific, from Sri Lanka, and from the Sudanese Red Sea, the most noteworthy of her works on the group, are still frequently cited. Concurrently, papers were published on the Bryozoa from Northern Ireland, the Indian Ocean, and Antarctica. Overall, she described 70 new species, with 26 of them based on hydroids and 44 on bryozoans; one hydroid species was assigned by her to a new genus. A person of affluent means, the motivation for her research appears to have been pure academic interest; she never held a university appointment or degree. Thornely died on 18 July 1951 at age 91 in Troutbeck, Westmorland, England.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.972

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)0.0290.000

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 head0.014
GPT teacher head0.191
Teacher spread0.177 · 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.

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
Published2021
Admission routes1
Has abstractyes

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