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Record W4391312215 · doi:10.33137/rr.v42i2.33022

Mulryne, J. R., Krista De Jonge, R. L. M. Morris, and Pieter Martens, eds. Occasions of State: Early Modern European Festivals and the Negotiation of Power

2019· article· en· W4391312215 on OpenAlexvenueno aff
Jennifer Mara DeSilva

Bibliographic record

VenueRenaissance and Reformation · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationState (computer science)HumanitiesPower (physics)ArtPolitical scienceLawComputer sciencePhysics

Abstract

fetched live from OpenAlex

comptes rendus 237 la seconde moitié du XVI e siècle.L'auteur rappelle aussi les goûts d'Henri d'Angoulême pour la culture.Poète à ses heures, cet homme de cour assista aux premières séances de l'Académie du Palais que le roi avait instituée en 1576 pour éclairer la conscience de ses sujets.Les écrivains en vue lui firent la cour, comme Amadis Jamyn qui lui dédia sa traduction du chant XVI de l'Iliade d'Homère (1577).Son intérêt pour les Lettres, autant que les exigences de son rang, le décidèrent à s'entourer d'écrivains, comme François Malherbe et Siméon-Guillaume de La Roque qui furent de sa cour en Provence, et cela jusqu'à sa mort survenue le 2 juin 1586, sous les coups du ligueur Philippe Altovitiis.Peu avant, Claude Binet lui avait réservé un exemplaire personnalisé de son Discours de la Vie de Pierre de Ronsard, imprimée à Paris chez Gabriel Buon.La biographie du « bâtard royal » étudie le parcours singulier et la réussite de cet homme à laquelle il n'était pourtant pas promis à cause de son illégitimité.Il permet de lever le voile sur la vie politique des Valois et de faire la lumière sur la part qu'y prit Henri d'Angoulême.françois

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)0.002
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: none
Teacher disagreement score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0050.004
Scholarly communication0.0100.016
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0170.007

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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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
Published2019
Admission routes1
Has abstractyes

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