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Record W2947130440

Distilling the Canadian Copyright Review 2018: One publisher's path through Canadian copyright and Canadian Coursepacks

2018· article· en· W2947130440 on OpenAlexaboutno aff
Anumeha Gokhale

Bibliographic record

VenueSummit (Simon Fraser University) · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsnot available
Fundersnot available
KeywordsPath (computing)Political scienceBusinessComputer science
DOInot available

Abstract

fetched live from OpenAlex

This report examines current academic publishing market in the light of the ongoing Statutory Review of Copyright Act of Canada (2018), and reconciles the testimonies presented before the review committee by the industry stakeholders. It focuses on the impact on academic publishing since the Copyright Modernization Act (2012) came into effect, which resulted in the education sector opting out of Access Copyright tariff. The report identifies the key concerns of the independent Canadian publishers: publishers’ and authors’ losses, interpretation of fair dealing guidelines, digital shift in content acquisition, institutional expenditure on Canadian content and the economics of digital environment. The report evaluates if a partnership between an independent Canadian publisher like Arsenal Pulp Press and an upcoming publishers’ consortium called the Canadian Coursepacks can help publishers recapture their academic sales revenues. The report highlights the future concerns for independent publishers in the absence of collective licensing and a need for publishers to re-think their distribution strategies, especially their sub-licensing agreements.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.001

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 head0.024
GPT teacher head0.197
Teacher spread0.173 · 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
Published2018
Admission routes1
Has abstractyes

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