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Record W4213171956 · doi:10.1093/res/hgab080

Samuel Johnson, Gregory Sharpe, and the Authorship of <i>Some Remarks on the Progress of Learning</i> (1746)

2021· article· en· W4213171956 on OpenAlexaff
F. P. Lock

Bibliographic record

VenueThe Review of English Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsCircumstantial evidenceParallelsHebrewLiteratureStyle (visual arts)PhilosophyClassicsHistoryEpistemologyArt

Abstract

fetched live from OpenAlex

Abstract Samuel Johnson wrote far more than he acknowledged or than his contemporaries could identify. Modern scholars have proposed many additions to the canon. Among the most recent of these is Some Remarks on the Progress of Learning (1746), a pamphlet ostensibly written to promote a new edition of Mario di Calasio’s concordance to the Hebrew Bible, then in preparation by William Romaine. The evidence adduced for Johnson’s authorship is partly circumstantial (his connections with the book trade) and partly internal (phrases and features of style that sound Johnsonian). No external evidence connects Johnson with the pamphlet. This article questions the attribution, arguing that neither the circumstantial nor the internal evidence is convincing. Further, the substance of the pamphlet itself, its politics, its religion (especially its view of the Reformation), and most of all its enthusiastic promotion of the study of Hebrew, are quite un-Johnsonian, and indeed contradict his known views. It therefore proposes a more credible candidate, Gregory Sharpe (1713–1771), an ‘enlightened’ cleric and a known enthusiast for Hebrew, and in support, cites parallels with his writings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.009
Scholarly communication0.0060.005
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.048
GPT teacher head0.340
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

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