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Record W1967871590 · doi:10.3138/jsp.33.3.125

Current Copyright Law and Fair Use: The Council of Editors of Learned Journals, Keynote Address, MLA Convention 2000

2002· article· en· W1967871590 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Scholarly Publishing · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingFair useIntellectual propertyLawConventionDoctrinePolitical scienceCopyright ActSociologyCopyright law

Abstract

fetched live from OpenAlex

For its keynote address at the 2000 MLA Convention, the Council of Editors of Learned Journals asked two experts in the area of publishing and copyright law to update editors and publishers about issues of copyright and fair use facing us in the digital age. Robert Spoo, a former academic journal editor and now a lawyer specializing in intellectual property law, warns that editors must be more mindful than ever, in light of new forms of digital publishing and republishing of scholarly work, to take care of their professional interests. He examines some problems we can expect to confront as the analogue world is further ‘consumed’ by the digital world. The doctrine of fair use must be intelligently applied to support scholarly interests. Harold Orlans, a long-time observer of the publishing world as editor of The Independent Scholar and a columnist for Change, the bimonthly magazine of the American Association for Higher Education, responds to Spoo's presentation and suggests how those in the scholarly publishing field might effectively stand behind fair use by providing sound directives for both upholding fair use and reducing the growing chaos surrounding copyright permissions. Both Spoo and Orlans would like to see scholarly editors and publishers avoid timidity before the law and instead lead in the area of copyright and fair use.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0140.081
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.133
GPT teacher head0.253
Teacher spread0.119 · 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