Apps of Empire: Global Capitalism and the App Economy
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
This article interrogates Dyer-Witheford and De Peuter’s Games of Empire. Since its publication in 2009, the game industry evolved significantly, adding billions of players, dollars, and devices. One of the driving forces of this transformation has been the global diffusion of mobile media. This raises the question: Do mobile platforms and the app stores operated by Apple and Google allow for a radical departure from global hypercapitalism? This question will be explored by taking on three themes: shifts in labor, the political economy of platformization, and the capital-intensive mode of app production and circulation. Doing so addresses two gaps in Games of Empire’ s approach: a dearth of empirical economic analysis and the acknowledgment of work in critical platform studies and mainstream economics. It is concluded that rather than providing a staging ground for dissent or collective action, apps of empire signal the foreclosure of an exodus from global hypercapitalism.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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