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Enregistrement W7105009103 · doi:10.5281/zenodo.17579958

D5.1 - Report on Policy Review

2025· article· en· W7105009103 sur OpenAlex

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aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
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Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Langueen
DomaineComputer Science
ThématiqueOpen Source Software Innovations
Établissements canadiensnon disponible
Organismes subventionnairesEuropean Commission
Mots-clésVideo gameConsolidation (business)Game DeveloperService providerIncentiveCompetitor analysisPublic policyCompetition (biology)

Résumé

récupéré en direct d'OpenAlex

The policy review has set out to explore the current video game industry cluster policy landscape to provide a foundation for new policy recommendations originating from forthcoming tasks in the GAME-ER project. To this end, CUNI collected 42 documents authored or commissioned by key stakeholders in the area of video game industry policy, including the European Commission (and its initiatives and projects such as the European Cluster Collaboration Platform), the European Game Developers Federation, or the United Nations’ World Intellectual Property Organization. Out of the total 42 documents, 31 contained relevant information regarding video game industry clusters and policy recommendations. It was further analyzed this subset of relevant documents using the analytical grid developed in a T3.1 (D3.1 - Analysis grid and interview script) of the GAME-ER project. Additionally, inductive qualitative analysis was also used in order to identify concrete policy recommendations.The analysis identified several key issues and challenges facing the cultural and creative sectors, particularly the video game industry: Difficult access to EU funding and support, including programs like Creative Europe, which are technically open for video game development projects. Brain drain of talent to countries offering more generous incentives (in the past this was, for example, the case of France versus Canada) as well as unhealthy intra-EU competition due to differences in public funding support among member states. Industry fragmentation limits collaboration, but at the same time video game industry consolidation and platformization is threating to relegate European video game companies to the role of service providers by extracting profits elsewhere in the global network of the video game industry, mainly to the U.S., China and Japan. Broader challenges such as the need to better integrate cultural initiatives into sustainable business models, address global competition and market access issues, remote work and cross-border operations, or promote environmental sustainability. Specific challenges such as the lack of a clear NACE classification for the video game industry, complex digital rights management, high risk and difficulty in raising finance for video game development, limited access to production and business skills, a disadvantageous position of video game developers with regard to industry convergence, and negative perceptions of the video game industry The existing policy recommendations cover many areas (funding, regulation, cluster leadership, education, or data), but sometimes suggest conflicting advice: Simplifying funding application processes, improving access to venture capital, and developing dedicated national strategies to support the video game industry's growth and competitiveness. Promoting the value of arts, culture, and creativity for the European economy and society. This can also help the related goal of supporting inter-clustering and cross-sectoral networking as a way to limit potential adverse side-effects of policy interventions. At the same time, industry trade organizations call for industry specific support and regulation. Be open to industry consolidation to achieve scalability, resource optimization and market expansion. However, at the same time European institutions warn about the role of digital platforms and recommend regulations to protect European video game companies. Encourage collaboration of various institutions, businesses, and public authorities as a way to balance out the agendas of these stakeholders and institute effective leadership within clusters. Invest in education of future talent and as a way of attracting foreign talent to the cluster locations. Improve monitoring, including the aforementioned NACE classification, to better inform business as well as public authorities about effective business models and impacts of policy interventions. The analysis also found out that policy reports position video game industry clusters as a viable solution for some of the mentioned challenges, in turn, calling for additional institutional cluster support. Cluster policies are, however, deeply embedded in pan-European and national policies and require careful consideration of the interlinked networks of video game production within the global context.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,660
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,003
Études des sciences et des technologies0,0020,000
Communication savante0,0010,000
Science ouverte0,0020,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,007

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,032
Tête enseignante GPT0,301
Écart entre enseignants0,270 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle