Videogame Production: How the Capitalist Socius and Platformization Subjectivate
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
Diverse representations of bodies in videogames has become a point of contention among developers and consumers alike, which has lead scholars to question why videogame production is breaking with trends of recognizable, anthropocentric characters in favor of “diverse” bodies. This paper contends that the overarching reason for this is that the capitalist socius (Deluze and Guattari, 1986) has become more readily equipped to be able to monetize and streamline diversity away from being an act of subversion and into an easily manipulatable source of revenue. In examining how the capitalist socius overlays onto the videogame production process, a few things become apparent. Because videogame production operates within the capitalist socius, their goals are the similar: to become autopoietic (able to reach a point of homeostasis in which the entity is able to reproduce and maintain its structural integrity) and to turn any and all resources into sources of capital generation. The expectation of bodies working in these regimes is to be as non-threatening and as pliable to new modes of subjectivation and capital generation as possible, but that means that bodies must undergo certain political transformations to adhere to these needs of the capitalist socius and videogame production process. As with any hegemonic structure, there are pockets of resistance that look to buck the current trends of subjectivation and capital generation. The form of resistance this paper examines is personal-games and affective experiences, but as with most things pertaining to the capitalist socius, personal-games are dangerously close to being swept up, monetized, and crunched down.
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 | 0.000 |
| 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