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Record W4413408880 · doi:10.17161/jcel.v8i1.23195

Risk, Reality, Regulations? Finding what’s reasonable in copyright guidance

2025· article· en· W4413408880 on OpenAlexaff
Lauren Byl

Bibliographic record

VenueJournal of Copyright in Education & Librarianship · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBusinessRisk analysis (engineering)Actuarial science

Abstract

fetched live from OpenAlex

Copyright guidance at an academic library is often provided at the nexus of the law, University policy, and the personal and professional values of the librarians and users involved in the decision making. An institution’s tolerance for risk (or lack-thereof) can create tension with librarians’ value systems. The law is often vague, leaving lots of room for differences of interpretation between University administrators, librarians, and users. Professional values, like the ones articulated by the ACRL Framework generally align with enhancing/supporting user’s rights and tend towards a copyleft point of view. Institutional risk tolerance complicates decision making further. Higher levels of risk are generally accepted with research and teaching endeavours, directly in contrast with a lower level of risk acceptable when it comes to compliance with the law (like the Copyright Act). Lack of clarity in the law and institutional risk tolerance can be at odds with professional values, which can confuse users and undermine librarians providing guidance. This article provides a beginning framework for understanding reasonableness in copyright decisions while taking into account the variety of pressures on copyright librarians. A set of cases are used to test the framework and a reasonableness chart is provided to allow for comparison of the cases.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.011
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.279
Teacher spread0.247 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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