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Record W2526906907 · doi:10.7202/1052517ar

Technologies optiques, CD-ROM, et bibliothèques

2018· article· fr· W2526906907 on OpenAlexaffvenue
Gilles Deschâtelets, Marcel Simoneau

Bibliographic record

VenueDocumentation et bibliothèques · 2018
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Les auteurs proposent une vue d’ensemble de la nouvelle industrie des technologies optiques et de leurs applications dans le marché de l’information documentaire et notamment, celui des bibliothèques. Après avoir présenté les aspects techniques et une typologie des nouveaux produits optiques, ils discutent des avantages et des inconvénients du CD-ROM comme support d’information, des opportunités de commercialisation de ce nouveau produit et des caractéristiques du marché des technologies optiques. Ils s’attardent plus particulièrement au marché des bibliothèques et au rôle de ces dernières rôle de consommation et de production face à ce nouveau support. Dans la seconde partie de cet article, ils présenteront les différents produits disponibles pour les bibliothèques et ils analyseront plus en détail les interfaces et modes d’accès et les méthodes d’évaluation (descriptive, comparative, expérimentale) des produits et systèmes sur le marché.

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)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.017
Science and technology studies0.0020.002
Scholarly communication0.0130.010
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0340.007

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 head0.130
GPT teacher head0.375
Teacher spread0.246 · 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.

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
Published2018
Admission routes2
Has abstractyes

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