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Record W1876818549 · doi:10.4000/ahrf.1547

Sir Brooke Boothby, Rousseau’s Roving Baronet Friend

2004· article· fr· W1876818549 on OpenAlexaff
Jean-Pierre Gross

Bibliographic record

VenueAnnales historiques de la Révolution française · 2004
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsPhilosophyArt

Abstract

fetched live from OpenAlex

C'est un chercheur nerlandais, spcialiste de littrature anglaise La Haye, que nous devons cette tude biographique, qui fait toute la lumire sur un pisode peu connu, mais significatif, du sjour en Angleterre de Jean-Jacques Rousseau.Le sujet en est Sir Brooke Boothby (1744-1824), nobliau des Midlands anglais, dont la mmoire perdure de nos jours grce un tonnant portrait la Tate Britain de Londres, peint en 1781 par le grand artiste noclassique (et dj romantique), Joseph Wright of Derby : portrait qui nous prsente Brooke Boothby allong nonchalamment sur l'herbe dans un bosquet, au bord d'un ruisseau ( brook en anglais), coiff d'un grand chapeau noir, la main reposant sur deux grands livres.Mais de son vivant, son vritable titre de gloire tait de s'tre brivement li d'amiti avec Jean-Jacques Rousseau.On sait que celui-ci s'tait rfugi, grce l'entremise de David Hume, Wooton Hall dans le Staffordshire, en 1766-1767.Rousseau et Boothby, propritaire de Ashbourne Hall dans le comt limitrophe du Derbyshire, fraternisrent en tant que chtelains voisins, malgr leur diffrence d'ge, et en raison de leur amour commun de la botanique et l'habitude qu'ils avaient tous deux d'herboriser.Ils se rencontraient souvent dans ce mme bosquet romantique dpeint par Wright, dit des Vingt Chnes , que Rousseau adopta bientt comme lieu de rflexion et de recueillement.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.039
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0380.010

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 head0.228
Teacher spread0.214 · 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

Citations13
Published2004
Admission routes1
Has abstractyes

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