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Record W4231585868 · doi:10.4337/9781781004876.00032

Copyright levies

2013· book-chapter· en· W4231585868 on OpenAlexaboutno aff
Joost Poort

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsDigitizationResource (disambiguation)BusinessEngineeringComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Copyright levies on recording equipment or blank media exist in many countries to compensate copyright holders for the effects of private copying.In 1965, Germany was the first country to introduce a private copying levy on sound and video recording equipment, following two decisions by the German Federal Supreme Court.The German collecting society GEMA had 'asked the Supreme Court to order that producers of recording equipment be obligated, upon delivery of such recording equipment to wholesalers or retailers, to request from the latter that they communicate the identity of the purchasers to the GEMA' (Hugenholtz et al., 2003, p. 11).The court ruled that this would be a violation of privacy in conflict with the German Constitution.Subsequently, a levy was introduced to compensate copyright holders for the supposedly detrimental effects of copyright infringement using tape recorders.In the ensuing decades, many countries followed suit and levies were introduced on a variety of recording or copying devices and blank media.At the present day, most countries within the European Union have copyright levies, as well as the United States, Canada, Russia and several countries in Latin America and Africa.In Asia, Japan is the only country with copyright levies (WIPO, 2012, p. 3).The general idea behind copyright levies is the following.Consumers often make copies for personal use of copyright protected material such as music, films, tv-shows, or books.For instance, they copy a CD to play it in their car or vacation home or to give it to a friend.Or they record a television show to watch it another time.Under strict application of copyright laws, these acts of reproduction would be an infringement.However, strict enforcement in these circumstances would be both too costly and too intrusive vis--vis rights of privacy and freedom of expression.Hence, legislators in many jurisdictions have introduced exceptions, which allow various forms of private copying, provided a levy is paid.This levy aims to compensate copyright holders for harm caused by the reduced sales or licensing opportunities as a result of private copying.Levies are collected by a collecting society or some general office and redistributed amongst copyright holders.This chapter deals with the law and economics of copyright levies.It first discusses the legal framework for private copying, focussing on the European Union, where the bulk of copyright levies are collected.Second, it presents data on the heights of levies and the amount collected in various countries.Third, this chapter analyses the economics of copyright levies.Fourth, it briefly discusses proposals to extend copyright levies to cover unauthorised file sharing over the internet. Legal background in the US and the EUIn the United States, home video recording was ruled to be non-infringing under the fair use doctrine by the Supreme Court in 1984.Eight years later, in 1992, the Audio Home Recording Act (AHRA) was adopted, which imposed a levy on equipment and media primarily designed to make digital copies of music for personal use (Netanel, 2003).Levies are set by the AHRA at 2 or 3% of the price of devices and media, up to a maximum of $ 12 (WIPO, 2012).Since the introduction of the AHRA, however,

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), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.262
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.002

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 head0.261
Teacher spread0.208 · 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
GenreOther

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

Citations4
Published2013
Admission routes1
Has abstractyes

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