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Record W7084044867 · doi:10.2966/scrip.060309.639

A Stroke of Genius or Copyright Infringement? Mashups and Copyright in Canada

2009· article· en· W7084044867 on OpenAlexaboutno aff

Bibliographic record

VenueSCRIPTed A Journal of Law Technology & Society · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMashupPrima facieDisseminationFair useCraftGeniusCopyright infringementPublishingCommon law

Abstract

fetched live from OpenAlex

Mashups, songs created by combining pieces of two or more pre-existing sound recordings into one new sound recording, allow anyone with access to a computer and sound editing software to engage with and participate in the (re)creation of culture. Among other purposes, mashups allow individuals to critique artists, to make satirical statements on the nature of pop music or the music industry, to make new works out of existing cultural expression, and to craft homages to favourite artists or works. This article examines the extent to which mashups are permitted by copyright law in Canada. It is structured as follows. First, it will provide an introduction to mashups, defining the term and discussing the popular emergence of mashups. Second, it will examine whether mashups prima facie infringe copyright in Canada. Third, it will look at whether mashups are protected by the fair dealing defence. This article will demonstrate that many mashups created and disseminated in Canada prima facie infringe copyright. Furthermore, a large number of mashups that prima facie infringe copyright will not be protected by the fair dealing defence as it is currently being applied by Canadian courts. The question, therefore, of the extent to which the Canadian Copyright Act should be revised to permit individuals to create and disseminate mashups without infringing copyright merits discussion during Canada’s ongoing process of copyright reform. One possibility for reform is to incorporate a right to create and disseminate transformative works within the Canadian Copyright Act.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.256
Teacher spread0.245 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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Same venueSCRIPTed A Journal of Law Technology & SocietySame topicSocial and Cultural DynamicsFrench-language works237,207