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Record W152419847

C-11 Exceptions aux bibliothèques

2012· article· fr· W152419847 on OpenAlexaboutno aff
Olivier Charbonneau

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2012
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyEthnologySociology
DOInot available

Abstract

fetched live from OpenAlex

L’œuvre numérique, prise dans le ressac constant de la commodification et de la mutualisation, exacerbe les tensions entre les acteurs du milieu culturel. D’un côté, le droit d’auteur semble noyé par le rôle réservé aux exceptions par le législateur et les tribunaux. De l’autre, les institutions d’enseignement et les bibliothèques constituent des partenaires de choix dans l’appropriation de l’univers numérique. Les bibliothèques universitaires québécoises, par exemple, dépensent 60 millions de dollars en ressources documentaires, dont près du deux tiers (2/3) sont octroyées aux seuls documents numériques en 2009-2010 selon la CRÉPUQ. Ainsi, l’œuvre protégée s’embourbe dans le paradoxe qui entoure sa nature, de commodité et de bien public . Sans pour autant négliger les tensions, il devient impératif de chercher l’intersection de toutes les positions. Dans un premier temps, nous traceront les contours du paradoxe numérique selon les théories de l’analyse économique du droit. Ensuite, nous exploreront certaines pistes pour faire converger le paradoxe vers une conceptualisation qui permet l’émergence de marchés numériques. L’objectif est de rétablir le droit d’auteur dans le panthéon des institution culturelles, au profit de tous les concernés de la société civile et d’un foisonnement culturel québécois numérique.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.854
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.007
Science and technology studies0.0020.001
Scholarly communication0.0040.018
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.244
GPT teacher head0.345
Teacher spread0.101 · 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; both teacher heads agree on what is shown here.

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
Published2012
Admission routes1
Has abstractyes

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