A Playful Multitude? Mobilising and Counter-Mobilising Immaterial Game Labour
Bibliographic record
Abstract
Using the conceptual grid of "immaterial labour" in the age of Empire, this article is a preliminary portrait of work in the video and computer game development industry, a sector of creative, cognitive labour that exemplifies the allure but also the peril of new media work. Drawing on interviews we conducted with game developers in Canada , we examine the conditions of labour in game studios, this cultural industry's "work as play" ethos, the pleasures and potentialities of game production, the blemishes that mar this attractive vista, and the new infractions these tensions provoke. Confirming that Empire sets in motion potentialities it cannot fully control, we also observe an emergent counter-mobilisation of game labour, whose manifestations range from digital piracy to dissident games produced in the context of activism. These experiments of a playful multitude flow into the wider currents of tactical media, hacktivism, open-source software, and distributed computing that are generating tumults throughout the circuits of Empire.
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.
How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".