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Record W2537755327 · doi:10.7202/1028148ar

Technologies optiques, CD-ROM et bibliothèques

2015· article· fr· W2537755327 on OpenAlexaffvenueabout
Gilles Deschâtelets

Bibliographic record

VenueDocumentation et bibliothèques · 2015
Typearticle
Languagefr
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesCD-ROMArtPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Ce second article présente les résultats d’une enquête auprès de toutes les bibliothèques et centres de documentation du Québec sur l’utilisation de produits documentaires sur CD-ROM. Après avoir établi l’importance du CD-ROM comme produit documentaire et donné une vue d’ensemble de son implantation aux États-Unis et au Canada, l’auteur présente les caractéristiques du marché du CD-ROM dans les bibliothèques et passe en revue les différentes enquêtes réalisées à ce jour. Le marché québécois du CD-ROM est présenté comme un marché encore marginal et en pleine implantation. Seulement 7,7% des bibliothèques du Québec offrent un service de CD-ROM, la plupart étant des bibliothèques universitaires ou spécialisées. L’implantation d’un service de CD-ROM est présentée comme étant très étroitement reliée à l’implantation d’un service de téléréférence.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.991
Threshold uncertainty score0.913

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.014
Science and technology studies0.0050.002
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.008

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 head0.053
GPT teacher head0.317
Teacher spread0.265 · 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".

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Citations0
Published2015
Admission routes3
Has abstractyes

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Same venueDocumentation et bibliothèquesSame topicLibrary Collection Development and Digital ResourcesFrench-language works237,207