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
Responding to a journal issue revisiting Games of Empire, this article begins by surveying the state of digital play amid a conjuncture of pandemic lockdown, anti-racism protest, and looming recession. We go on to address criticism of our book’s outlook on “games of multitude” in the face of the reactionary side of gaming culture expressed by Gamergate. We next outline elements of a research itinerary, were we to update our book’s project, including climate crisis, platform proliferation, organizing and organizations, and video gaming’s violent intersections. We conclude by reasserting the need to attend to emancipatory currents within—and against—game cultures. While gaming’s complicity in energy overconsumption and cultures of domination raises serious questions about its contribution to any postcapitalist future, the struggles that might bring us to this point will be waged by combatants whose subjectivities have been formed within the digital complexes of which gaming is now an integral part.
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