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Record W277078845 · doi:10.3138/cjh.38.1.19

Culture in the Cities: Provincial Academies During the Early Years of Louis XIV’s Reign

2003· article· en· W277078845 on OpenAlexvenueno aff
Katherine Stern Brennan

Bibliographic record

VenueJournal of History · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipReignPoliticsRhetoricRealmSociologyValue (mathematics)MonarchyStyle (visual arts)TasteInterpretation (philosophy)LawMedia studiesPolitical scienceHistoryTheologyPhilosophy

Abstract

fetched live from OpenAlex

Contrary to the traditional interpretation that Louis XIV’s cultural absolutism included the establishment of provincial academies under the direction of the Académie Française, this article argues that men of letters in Caen, Soissons, Angers, Arles, and Nîmes spontaneously founded independent academies to satisfy their own interests in scholarship. These academies offered members a chance to exchange ideas, criticize each other’s work, and share their contacts with other men of letters outside their city. The provincial academicians struggled to define their institutions in ways that would combine their enjoyment of private intellectual camaraderie with their desire to enhance the social value of their talents in the local political arena. Provincial men of letters shared a common intellectual formation from their years in local collèges where they studied the ancient authors and developed a taste for rhetoric. They created a provincial cultural style which supported a greater diversity of literary genres, embraced the use of Latin, and continued the pursuit of scholarship in contrast to Parisian patterns of cultural activity. Provincial academicians negotiated with the crown on their own terms, and at different moments in their history, in order to formalize the place of their institutions in the realm of Louis XIV.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.199
Teacher spread0.179 · 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.

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

Citations1
Published2003
Admission routes1
Has abstractyes

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