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Record W2998182985

International Survey on Private Copying : Law and Practice 2016

2017· article· en· W2998182985 on OpenAlexaboutno aff
H. Wijminga, Wayne Klomp, M. van der Jagt, Joost Poort

Bibliographic record

VenueUvA-DARE (University of Amsterdam) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIntellectual Property Law
Canadian institutionsnot available
Fundersnot available
KeywordsCopyingLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The European Commission has been reviewing the copyright framework for a long time.In 2012, the issue of private copying levies was the subject of an industry mediation process fostered by the Commission and led by former Commissioner António Vitorino.Mr. Vitorino delivered a report on this issue in February 2013, including several recommendations 8 , although it has not led to any legislation; to date, the aim is to make EU copyright law and practice fit for the digital age.The debate on levy systems has continued through stakeholder dialogue.In 2014, the European Parliament published the Castex Report.It describes private copying levies as a virtuous system, which is nonetheless in need of modernization and harmonization.It focused especially on cross-border situations, the scope of the exception and the need for transparent and effective exemptions for professional uses.July 2014 saw the results of the Consultation on Copyright in the 2013-14 3rd consultation (review of EU copyright rules).On December 9, 2015, the communication "Towards a modern, more European copyright framework" was published.The levy systems are not much discussed in the communication and are no longer a priority on the copyright agenda for the new EU Commission.For the most part, the possible impact on the Digital Single Market is a concern and even though the CJEU clarified some issues, some disparities remain. Relevant Jurisprudence from the European Court of JusticeThe table below provides a schematic overview of the case law from the Court of Justice of the European Union on private copying levies.More extensive information about these cases is presented in the Annex of this report.Table 1: Case law from the Court of Justice of the European Union on private copying levies Case No.

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)0.009
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.017
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.010

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 head0.068
GPT teacher head0.310
Teacher spread0.243 · 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 designObservational
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

Citations7
Published2017
Admission routes1
Has abstractyes

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