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Record W7042383030

Orphan Works Situation Under Canadian Copyright Act

2020· article· en· W7042383030 on OpenAlexaboutno aff

Bibliographic record

VenueJournals & Books Hosting (International Knowledge Sharing Platform) · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsnot available
Fundersnot available
KeywordsCopyright ActPublic domainFunction (biology)Intellectual propertyCopyright lawLegal aspects of computing
DOInot available

Abstract

fetched live from OpenAlex

This article examines the orphan works solution under the Canadian Copyright Act. This article introduces the type of solution adopted by the Canadian Copyright Act. The author undertake a qualitative approach to a thorough investigation that discloses that Canada has adopted centrally granted licensing model which enables a public body to issue licenses for users of orphan works. The author also revealed that under the Canadian system a prospective user is required to carry out a reasonably diligent search prior to using orphan works. It is understood that the type of solution adopted by the Canadian law may not function well at the moment, due to technological advancements that allow public libraries and other public institutions to digitise the whole collections that they own. However, compulsory licenses model could be considered a barrier before such institutions to have all their collections digitised, therefore, it is preferred for the Canadian law to adopt extended collective licenses model in addition to the compulsory licensing model. Keywords: orphan works, centrally granted licenses, license, section 77. DOI: 10.7176/JLPG/95-12 Publication date: March 31 st 2020

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.004
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.087
GPT teacher head0.277
Teacher spread0.190 · 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
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
Published2020
Admission routes1
Has abstractyes

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