‘Life finds a way’: mapping a post-positivist marxian science
Bibliographic record
Abstract
The rise of populist ethnonationalistmovements – and the breakdown of global liberal cosmopolitanism – caught most political analysts and theorists by surprise. This article takes this failure of political expertise as a challenge to reconsider radical Left approaches in making sense of political turmoil, economic crises, and class. Specifically, this article examines two key Marxian concepts, class and crisis, in relation to chaos. The authors argue that political expertise fails because the infinite velocities of chaos cannot be indefinitely contained categorically for three reasons: (1) because chaos understood as unpredictability is a property inherent to reality; (2) because there is no Archimedean point from outside of being in the world to objectively observe the world; and (3) because observing the world is always linked to intervening in it, a process through which the observer and the observed are both changed. To this end, the authors seek to augment crisis and class as concepts with a capacity to capture the nonlinear ways in which existing class struggle has developed across space and over time. To capture these complexities, the authors develop dadascience, a scientific apparatus of constant abandonment designed to account for determinations in relation to indeterminacy.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.046 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".