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Record W2341441648 · doi:10.7202/1035765ar

« Homme de son temps, et du nôtre. » Les « Albums de la Pléiade », un patrimoine littéraire vivant

2015· article· fr· W2341441648 on OpenAlexaffvenue
Marcela Scibiorska

Bibliographic record

VenueMémoires du livre · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La collection des « Albums de la Pléiade » (Gallimard), destinée à promouvoir la prestigieuse Bibliothèque de la Pléiade, met en oeuvre des modes de construction particuliers du patrimoine littéraire. Composés essentiellement d’images de diverses natures accompagnées d’un texte biographique, ces volumes proposent une image d’auteur qui se dessine selon deux logiques temporelles distinctes. D’une part, les auteurs des Albums montrent les écrivains biographiés comme ancrés dans leur temps, représentant leur époque à travers leur oeuvre et leur vie. D’autre part, ces écrivains sont présentés en tant que contemporains du lectorat de la Pléiade. Cette contemporanéisation s’opère au moyen d’un effet d’intimité recherché par les Albums, mis en valeur par un discours du dévoilement adopté par les biographes dans le paratexte. Cette révélation de l’intimité de l’auteur le rapproche considérablement de son lecteur, selon une stratégie qui, visant à proposer un canon littéraire actuel et vivant, légitime dans le même temps la collection elle-même.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0200.004

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 head0.237
Teacher spread0.220 · 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".

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Citations1
Published2015
Admission routes2
Has abstractyes

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