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Record W3014850819 · doi:10.7202/1068277ar

La dynamique de la circulation des savoirs et de leurs matériaux dans les échanges épistolaires entre Jean-Baptiste Boisot et Paul Pellisson-Fontanier (1674-1693)

2020· article· fr· W3014850819 on OpenAlexvenueno aff
Corinne Marchal

Bibliographic record

VenueArborescences Revue d études françaises · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

123 lettres sont conservées de la correspondance (1674-1693) entre Jean-Baptiste Boisot, érudit comtois héritier des archives et de la collection des Granvelle, et Paul Pellisson-Fontanier, l’un des plus brillants hommes de lettres de son temps, controversiste et historiographe du roi Louis XIV. Cette correspondance se présente sous la forme d’échanges suivis, réguliers, marqués par une circulation abondante et dynamique de savoirs et d’objets de connaissance. L’inégalité de leur situation, sur un plan social autant que scientifique, laissa néanmoins à Jean-Baptiste Boisot l’opportunité de tirer profit de la bienveillante protection de Pellisson pour diffuser les trésors de sa collection et se faire connaître comme un érudit aux projets originaux et audacieux, plutôt que comme un servile collaborateur du controversiste. Cette étude a pour propos d’éclairer les avantages qu’un docte d’une province périphérique réunie depuis peu à la France pouvait tirer, quant à la circulation des savoirs, de ses échanges épistolaires avec un savant de renom et bien en cour, au fil d’une relation en constant renouvellement.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.008
Scholarly communication0.0080.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.046
GPT teacher head0.256
Teacher spread0.210 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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