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Record W4407968757 · doi:10.7202/1116160ar

Au-delà des mots : analyse de la première édition de l’oeuvre de Pierre de Cafmeyer (1720)

2024· article· fr· W4407968757 on OpenAlexvenueno aff
Manon Chaidron

Bibliographic record

VenueMémoires du livre · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Cet article analyse la première édition du livre de Pierre de Cafmeyer, parue en 1720 à l’occasion du jubilé du Saint Sacrement du Miracle de Bruxelles. L’objectif principal de l’auteur et de l’éditeur est double : d’une part, lutter contre les dissidences et, d’autre part, raviver la dévotion des fidèles. Pour atteindre cet objectif, le livre intègre étroitement la reproduction des tableaux décrivant la légende, offerts à la cathédrale Saints-Michel-et-Gudule cette année-là, que ce soit dans le format in-folio ou in-octavo de l’ouvrage. Ces scènes aident le lecteur à prendre connaissance du récit et à méditer. Le plus petit format peut être emporté par le fidèle dans l’édifice religieux, tandis que le second lui offre la possibilité de se remémorer, chez lui, le cheminement qu’il a fait dans l’église grâce à la reproduction de l’espace ecclésial par le texte et les illustrations.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.005
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.017
GPT teacher head0.277
Teacher spread0.260 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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