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Record W2120216899

Intellectual Property and Cultural Diversity: Two Views on the Relationship Between Market and Culture

2009· article· en· W2120216899 on OpenAlexaboutno aff
Branislav Hazucha

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationIntellectual propertyDiversity (politics)Promotion (chess)Cultural diversityDominance (genetics)Order (exchange)Balance (ability)Market accessState (computer science)BusinessIntervention (counseling)Political scienceLaw and economicsEconomic systemPublic economicsPolitical economyEconomicsPoliticsLawGeography
DOInot available

Abstract

fetched live from OpenAlex

This article scrutinizes the two main approaches to the role of intellectual property as a means of protection and promotion of cultural diversity in order to check their efficiency and impact on cultural diversity on the local, regional and global level. On the one side, the group of countries led by the United States advocates a free market approach without any state intervention. On the other side, the remaining countries, among them France and Canada, search for some form of protecting their domestic cultural industries against the dominance of foreign multinational enterprises in their national markets. The main aim of this Article is to draw attention to the sometimes overlooked drawbacks of each currently advocated solution. By identifying the weak points of both approaches, the Article attempts to point out their innate shortcomings and the necessity of preventing their negative consequences in order to efficiently achieve the adequate protection and promotion of cultural diversity. The Article concludes by stressing the importance of striking an appropriate and adequate balance between granting individual intellectual property rights on the one side and state interventions, such as screen quotas, taxes, subsides or other types of redistributive mechanisms and schemes, on the other, in searching for an efficient cultural policy to protect and promote cultural diversity on the local, regional and international level.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.254
Teacher spread0.121 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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