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Record W1599734003 · doi:10.29173/alr450

The Substance of Procedure: Non-Party Disclosure in the Canadian and U.S. Online Music Sharing Litigation

2016· article· en· W1599734003 on OpenAlexaffvenueabout
Jane Bailey

Bibliographic record

VenueAlberta Law Review · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPlaintiffAdjudicationSubpoenaContext (archaeology)BusinessCopyright infringementPolitical scienceForum shoppingLawIntellectual property

Abstract

fetched live from OpenAlex

The music recording industry is suing Internet subscribers in Canada and the United States for alleged copyright infringement in unprecedented numbers. The procedure for obtaining non-party disclosure has taken on renewed significance in this context, as the industry requests disclosure of identifying and private information from Internet Service Providers (ISPs) who provide online communicators with their Internet connections. Legislative measures adopted in the U.S. expedited the disclosure process through an administrative mechanism with low threshold requirements for issuance of a subpoena against an ISP. In Canada (and after late 2004 in the U.S.), disclosure requests proceeded under federal rules of court. Comparison of the expedited administrative and the judicially interpreted rules-based processes raises important questions about the connection between procedure and substance, and procedural justice more generally. Not only are more permissive rules for disclosure often inconsistent with protecting substantive rights, such as privacy, bin they also cannot be presumed to enhance the likelihood of achieving accurate substantive legal outcomes. If non-party disclosure rules are not contextually designed and implemented to reflect the power and resource imbalance between the plaintiff music industry and the individual defendants pursued in online music sharing litigation, the public and private interest in substantive adjudication of critical questions relating to copyright law may be foreclosed for reasons wholly unrelated to substantive legal merits.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.240
Teacher spread0.218 · 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 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
Published2016
Admission routes3
Has abstractyes

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