Into the Metaverse: Technical Challenges, Social Problems, Utopian Visions, and Policy Principles
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.
Bibliographic record
Abstract
The metaverse holds a prominent place in debates over the future direction of digital networks. Proponents claim that advances in virtual and augmented reality will shape every facet of social life. This article defines the metaverse, explores the state of the technology, and addresses its public policy significance. It makes use of a political economic perspective focusing on the concepts of commodification and spatialisation. Specifically, it considers how major platform and gaming companies plan to use the metaverse to expand market share. The article also addresses the cultural dimensions of the metaverse as the latest in a series of utopian visions of a digital sublime. It proceeds to take up the social problems associated with the metaverse and concludes by describing the essential policy principles that should guide public authorities in the regulating the metaverse. These principles include acknowledging that current concerns over implementation do not limit future deployment. Moreover, public policy should start by recognising that the metaverse is a public space and not the private property of the major platforms. Finally, policy must address specific social problems deepened by the arrival of the metaverse including crime, privacy, the impact on climate, and data ownership.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it