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Record W6990172713

Copyright, Data, and Creativity in the Digital Age: A Journey through <i>Feist </i>

2020· book· en· W6990172713 on OpenAlexaff

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2020
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsQueen's University
Fundersnot available
KeywordsCreativityRelevance (law)Property (philosophy)Work (physics)Intellectual propertyPeriod (music)Computational creativity
DOInot available

Abstract

fetched live from OpenAlex

The Supreme Court of the United States in Feist v. Rural (1991) required that databases must have a minimal degree of creativity for copyright. The judgment was highly significant and the subsequent period is understood as the post-Feist era. It has been globally influential. However, the decision is extremely complex and remains unsatisfactorily interpreted. In particular, it has been impossible to illuminate the creativity requirement.<br/><br/>The book gives an account of the decision’s conceptual structure, focusing on its full delineation of the opposite to creativity. In a radical and unprecedented innovation, it is correlated with an automatic computational process. Creativity itself is understood as non-computational or directly human activity concerned with meaning. Determining the presence of creativity is reduced to a four-stage test. This work then has acute practical current relevance to property in data in the digital age; it will also be of theoretical interest to, and is aimed at, researchers in, practitioners, and students of intellectual property worldwide.<br/>

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, 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: Other · Consensus signal: Other
Teacher disagreement score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0020.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.072
GPT teacher head0.283
Teacher spread0.211 · 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
GenreOther

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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