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Record W4404191465 · doi:10.1080/0268117x.2024.2422126

Edward Herbert’s <i>A Dialogue between a Tutor and his Pupil</i> , and Karl Ludwig, Elector of the Palatinate

2024· article· en· W4404191465 on OpenAlexafffund
James Doelman

Bibliographic record

VenueThe Seventeenth Century · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European national history
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTUTORPupilPhilosophyMedia studiesPsychologySociologyMathematics educationNeuroscience

Abstract

fetched live from OpenAlex

A hitherto unnoted manuscript of A Dialogue between a Tutor and his Pupil (Kassel 2° Ms. philos. 12) puts beyond doubt that it is a canonical work of Edward, Lord Herbert of Cherbury. The Dialogue offers the most radical presentation of Herbert’s thoughts on religious pluralism, and the emendations in the Kassel manuscript show the original composition was even bolder than that found in other manuscripts and finally published in 1768. The provenance of the manuscript is also significant: it survived in the collection of Karl Ludwig I, Elector Palatine (1617–80), grandson of King James I. He nearly certainly obtained the manuscript during his extended stay in England in the 1640s, and it reflects his relationship with Herbert and a wide range of major (and often radical) English thinkers of the 1640s. Finally, his policy of religious toleration during his direct rule of the Palatinate is consistent with Herbert’s ideas.

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)0.002
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.006
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.002

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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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