The New Spirit of Capitalism in the Game Industry
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 draws from ethnographic work in the game industry to challenge claims that digital platforms “democratize” cultural production by supporting small teams. I show how game developers exemplify the New Spirit of Capitalism in their search for creative autonomy outside of the risk-averse blockbuster console industry. Their risk of cultural production is ostensibly reduced by tools that leverage big data. By following one studio making free-to-play mobile games, I test the celebratory claims of democratization against the reality of implementing these now-essential analytics tools. The studio’s experiences demonstrate how mobile production for digital platforms intensifies game labor rather than facilitating its democratization in any straightforward way. It restricts creative autonomy, exacerbates the burden of risk on developers, and reinforces existing market and gender inequities. Rather than creatively liberating developers and expanding access to game development, data-driven design for digital platforms introduces new gatekeepers and literacies of exclusion.
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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 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