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Record W2044818988 · doi:10.7202/044293ar

Creative industries and the IPR dilemma between appropriation and creation: some insights from the videogame and music industries

2010· article· en· W2044818988 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueManagement international · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsCreative industriesAppropriationOpenness to experienceIntellectual propertyCreativityDilemmaImitationBusinessWork (physics)CommonsProcess (computing)Music industrySociologyPolitical sciencePsychologyEngineeringComputer scienceSocial psychologyEpistemology

Abstract

fetched live from OpenAlex

Intellectual property rights (IPR) play a strategic role in creative industries. Defined as a collective process, creativity involves actors with contradictory IPR needs. This leads to an “IPR dilemna”. Firms are looking into appropriating creative work and prevent imitation; whereas creative communities need a weak IPR to combine past work and generate novelty. It becomes problematic for individuals to find themselves between these two. As a result, actors are developing specific IPR arrangements (e.g. open source and creative commons practices) to preserve the balance between appropriation and openness allowing creation. Two creative industries are used as illustrations: music and video-games.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.214
Teacher spread0.189 · 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