Bibliographic record
Abstract
We held the ‘Revolutions’ conference in 2017 to commemorate the Russian Revolution and redeem the actual record of revolutions in the Third World for the left. A quarter-century after the demise of the USSR, we found liberal capitalist triumphalism unwarranted. Two of the most important expectations to which it gave rise – that the world had become ‘unipolar’ and that it would enjoy a ‘peace dividend’ – remained unfulfilled. Instead, the world became multipolar and the West, led by the United States, engaged in unprecedented economic and military aggression against countries that contested its power. If this were not enough, social unrest and explosions in the First World as well as the Third underlined the relevance of revolutions. To trace their lineage, we recall capitalism’s intimate relation with revolution. It has needed revolutions to usher it into history and to usher it out. In addition to revolutions against developed capitalism, we also underline how important and necessary revolutions against nascent capitalism in various parts of the world have been. The contributions in this volume explore different parts of this lineage and vivify revolutions for our time.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.009 | 0.033 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".