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Chapter 3 Robert Harkness, Henry Alleyne Nicholson and Charles Lapworth

2002· article· en· W4244651079 on OpenAlexaboutno aff

Bibliographic record

VenueGeological Society London Memoirs · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsGeologistArchaeologyQuarter (Canadian coin)GeologyHistory

Abstract

fetched live from OpenAlex

Abstract For some forty years after Adam Sedgwick took to the field in the Lakes in 1822, he was virtually the only major geologist to make the region one of his main objects of study. We have seen how he made considerable efforts to sort out the stratigraphy of the southern Lakes, relating his work there to his investigations in Wales, but to a large extent he left the central volcanic region alone; likewise the Skiddaw Slates - apart from claiming them for his Cambrian System on the basis of their apparently meagre fossil contents, as collected by Ruthven. The man who took up from where Sedgwick left off was Robert Harkness (1816-1878) (see Fig. 3.1). l His family came from Ormskirk, near Liverpool, but he attended school in Dumfries in SW Scotland, his father's home town. From there he went to Edinburgh University, where he studied under the geologists Robert Jameson and James David Forbes, and the chemist Thomas Charles Hope. In his early twenties Harkness was making geological investigations in Lancashire, particularly among the coalfields and the rocks of the New Red Sandstone. In 1848, the family moved to Dumfries, from which centre Harkness, being of independent means, began geological investigations among the rocks of the Southern Uplands, including the region near Moffat, which, rich in graptolites, later became a classic site through the work of Charles Lapworth (1842-1920) (Hamilton 2001). Thus early in his career, Harkness became familiar with these Lower Palaeozoic fossils. In fact, his interest in them

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.986

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.000

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 head0.029
GPT teacher head0.195
Teacher spread0.167 · 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 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
Published2002
Admission routes1
Has abstractyes

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