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Record W2269358503

NYMITY, P2P & ISPS: Lessons from BMG Canada Inc. v. John Doe

2005· article· en· W2269358503 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicFreedom of Expression and Defamation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsUnintended consequencesThe InternetFile sharingEnforcementBacklashInternet service providerElement (criminal law)Internet privacyBusinessIntermediaryPolitical scienceLawEngineeringMarketingComputer science
DOInot available

Abstract

fetched live from OpenAlex

This chapter provides an exploration of the reasons why a Canadian Federal Court refused to compel five Internet service providers to disclose the identities of twenty nine ISP subscribers alleged to have been engaged in P2P file-sharing. The authors argue that there are important lessons to be learned from the decision, particularly in the area of online privacy, including the possibility that the decision may lead to powerful though unintended consequences. At the intersection of digital copyright enforcement and privacy, the Court's decision could have the ironic effect of encouraging more powerful private-sector surveillance of our online activities, which would likely result in a technological backlash by some to ensure that Internet users have even more impenetrable anonymous places to roam. Consequently, the authors encourage the Court to further develop its analysis of how, when and why the compelled disclosure of identity by third party intermediaries should be ordered by including as an element in the analysis a broader-based public interest in privacy.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.289
Teacher spread0.276 · 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