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Record W1581415070 · doi:10.21083/irss.v35i0.1248

Roger L. Emerson, <i>Essays on David Hume, Medical Men and the Scottish Enlightenment </i>

2010· article· en· W1581415070 on OpenAlexvenueno aff
Jack Harrington

Bibliographic record

VenueInternational Review of Scottish Studies · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicPragmatism in Philosophy and Education
Canadian institutionsnot available
Fundersnot available
KeywordsEnlightenmentScottish EnlightenmentHistoryClassicsPhilosophyTheology

Abstract

fetched live from OpenAlex

Hume, Medical Men and the Scottish Enlightenment: "Industry, Knowledge and Humanity" suggests a miscellaneous work.A quick glance at the contents page confirms this impression with essays on reading, Hume, Archibald Campbell, 3rd Duke of Argyll and various aspects of the Scottish Enlightenment.It is a testament to the simplicity of Emerson's style and method of exposition, that his essays engage with several thick and thorny historiographical debates at the same time as providing a welcome path for the uninitiated.The four essays on David Hume that appear in the middle of the book are well ordered and of a high quality.The first three are useful introductions to their subject and intelligent statements of Emerson's belief that Hume's historical and political achievements are as integral to his intellectual achievement as his philosophy.This is not exactly new ground.Nicholas Phillipson's Hume and many more recent works have proven that Hume the historian and Hume the philosopher are inseparable.That said, Emerson's own musings on Hume's historical writings are so neatly woven into the general intellectual landscape of Enlightenment Scotland that I would recommend them to any student of historiography

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.774
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.297
Teacher spread0.273 · 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
Published2010
Admission routes1
Has abstractyes

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