Bibliographic record
Abstract
Editors Alana Gerecke and Laura Levin frame the central concerns and interventions of the issue. They insist that in this historical moment of Women’s Marches, Black Lives Matter, Occupy, and the Idle No More ‘round dance revolution,’ of flash mobs and pop-up culture, of relational art and postdramatic performance practices, we must think seriously about what is at stake in gathering and moving together in public spaces. Increasingly mainstream and increasingly evident, these collective reimaginings of quotidian practices, cultural consumption, and political resistance challenge the atomized ways we normally move through cities. In doing so, they pose questions of aesthetics, use, access, exclusion, density, and mobility “in resolutely physical terms” (Gerecke 42). What does it mean to show up and, more specifically, move together in these collective arrangements? How do different choreographic arrangements of public assembly shape and re-shape the social, the aesthetic, and the political?
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".