Watching Us Play: Postures and Platforms of Live Streaming
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
In this article, Austin Walker discusses streaming, the practice of broadcasting the gameplay footage. Providing a brief analysis of the range of streaming practices, Walker argues that streaming represents a sea change in how players share and collaborate, adding new sorts of social interactivity to an experience that was, for so long, solitary. Live streaming’s novelty grants it special status as a practice still in formation, making it especially useful in analyzing how late capitalism identifies and appropriates fresh cultural activity--doing so in this case through the development of an infrastructure that supports and encourages voluntary self-surveillance. While there are resistive elements of live-streaming, such as allowing new voices access to broadcast capabilities, streaming also represents socialized labour. Walker separates streaming into two stances: the active streaming posture, where streamers voluntarily choose to broadcast their play, and the passive streaming posture, where streaming is automatically incorporated into the hardware and/or software of the gaming platform and players are unable to opt in or out.
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 | 0.000 |
| 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