Collective Autonomy in Action: From the Autonomous Social Centre to Building 7
Bibliographic record
Abstract
Abstract for the entire book: \n \nAn investigation of how social movements and activists can undermine structures of political power by redefining participation. \n \nThe past decade has witnessed the resurgence of autonomy-inspired movements in many countries across Europe, North America, and Latin America. From the Indignados to the Occupy Movement and Antifa, from Indigenous mobilizations at Standing Rock to Black Lives Matter, and from radical feminists to climate justice activists, the influence of the ideals and practices of autonomy seem more alive and pervasive than ever. Subverting Politics explores how autonomous social movements navigate the state despite overwhelming tides of corporate and political dominance. Featuring essays from various scholars and academics such as Jason Del Gandio, AK Thompson, Miguel A. Martínez, Émeline Fourment, Rachel Sarrasin, and others, this investigation into the rise and resurgence of social movements is extremely timely for readers seeking new political inspirations.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.036 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".