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Birth, Retreat and Renaissance: The Lifecycle of Balance under the Canadian Copyright Law

2007· article· en· W1983544029 on OpenAlexaffabout
Saleh Al‐Sharieh

Bibliographic record

VenueThe Journal of World Intellectual Property · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBalance (ability)DoctrineLegislatureLawSupreme courtThe RenaissancePolitical scienceCopyright ActCommon law copyrightLaw and economicsCopyright lawSociologyHistoryIntellectual property

Abstract

fetched live from OpenAlex

Currently, Canadian copyright law is not merely the law of authors. It acknowledges the rights of copyright holders and users as a means to a more valuable end, which is the public interest. The principle correlating such values is the principle of “balance”, which the Supreme Court of Canada has frequently endorsed as a purpose of the Copyright Act in many leading cases, namely Théberge, CCH, SOCAN and, very recently, Robertson. Because none of the mentioned cases discussed the origin or evolvement of balance, this article focuses on the lifecycle of this principle and the circumstances that have impacted its evolution. The article concludes that balance is not merely a contemporary judicial policy, but a doctrine rooted in Canadian copyright law that has gone through a lifecycle of birth, retreat and renaissance. Therefore, any prospective reform to the Canadian Copyright Act ought to consider articulating this principle explicitly as a legislative purpose. The article further concludes that legal reasons as well as a matrix of historical, economic, social, cultural and technological reasons are behind the recent emphasis on balance.

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)0.008
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.917
Threshold uncertainty score0.602

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0230.056
Scholarly communication0.0200.013
Open science0.0020.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.224
Teacher spread0.198 · 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 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
Published2007
Admission routes2
Has abstractyes

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