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Record W2579898703 · doi:10.4000/perspective.6929

Livres d’artistes et ephemera en bibliothèque

2016· article· fr· W2579898703 on OpenAlexaff
Roman Koot

Bibliographic record

VenuePerspective · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

De très nombreuses bibliothèques partout dans le monde collectent et gèrent des livres d’artistes, et les mettent à disposition du public. Pourquoi les bibliothèques (d’art) sont-elles si aptes à remplir ce rôle ? Du fait de la spécificité des livres d’artiste, la collecte, l’inventaire et la mise à disposition pose des exigences particulières aux bibliothécaires. La bibliothèque en tant qu’institution prestataire de services offre les meilleures garanties pour des conditions de consultation optimales. Les livres d’artistes peuvent être envisagés comme des œuvres d’art à part entière, mais aussi être consultés en bibliothèque en lien avec de la littérature dite secondaire ou d’autres sources de l’histoire de l’art, comme les pièces d’archives et les imprimés éphémères. Ces derniers présentent une source inestimable d’informations pour les historiens de l’art, comme le montre la place de plus en plus importante qu’ils occupent dans les expositions. La valeur d’un livre d’artiste en tant que source historique et artistique dépend, en dernière analyse, de la nature de chaque ouvrage et de la problématique du chercheur.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.009
Science and technology studies0.0100.014
Scholarly communication0.0150.008
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.005

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 head0.033
GPT teacher head0.318
Teacher spread0.286 · 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
Published2016
Admission routes1
Has abstractyes

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