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
Over the past several years, the live-streaming of digital games has experienced a vast increase in popularity, coinciding with the rise of eSports as an entertainment medium. For a rapidly growing audience, streamed content provides material from an ever-increasing roster of games, tournaments, and special events. Recently, streaming platforms, game developers, and professional players have experimented with the inclusion of viewer interaction through mechanisms such as chat, broadcast messages, donations, and voting systems. With the advent of these mechanisms, the concept of game viewership has entered a transitory period; while still largely focused on consumption, for many spectators, the viewing experience is no longer an entirely passive act. The idea of interactive spectatorship (the authors refer to it as Spectator-players) carries the potential for audience members to engage with content at a much deeper level, participating actively in a novel form of entertainment and contributing to an enriched gaming community. This novel form of gaming interaction poses interesting challenges for game designers, as it requires design considerations to meet the needs of players, passive viewers, and active audience members alike. In this paper, the authors examine the opportunities and challenges presented by the design of interactive spectator experiences. Ultimately, they propose a series of design guidelines aimed at the exploration of development in the area of interactive spectator experiences.
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