‘Life finds a way’: mapping a post-positivist marxian science
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
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it