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Record W4405808956 · doi:10.54097/y7ntp297

The Metaverse Strategy of the Walt Disney Company

2024· article· en· W4405808956 on OpenAlex
Rui Jiang

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.

fundA Canadian funder is recorded on the work.
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 Education Humanities and Social Sciences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Topics in Contemporary Research
Canadian institutionsnot available
FundersYork University
KeywordsMetaversePossible worldBusinessComputer scienceHuman–computer interactionEpistemologyPhilosophyVirtual reality

Abstract

fetched live from OpenAlex

The Walt Disney Company has explored the potential of the metaverse as a future frontier for digital experiences and storytelling. With the digital advancements, especially in immersive technologies, Disney aimed to capitalize on its vast intellectual property (IP) portfolio and creative universe. However, despite early efforts, including collaborations with key players like Epic Games and Apple Vision Pro, Disney faced challenges, as seen in the dissolution of its metaverse division in early 2023. This paper explores the commercialization opportunities and business model innovations within the metaverse, analyzing Disney's strategic partnerships and distribution network. Through a SWOT framework, the analysis highlights the opportunities Disney has in leveraging its character library for immersive experiences while also addressing threats posed by emerging metaverse competitors. The research provides insights into the evolving digital landscape, offering a comprehensive understanding of Disney’s strategic positioning in the metaverse and its implications for future growth and audience engagement.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.888
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.247
GPT teacher head0.440
Teacher spread0.193 · 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