Energetika: Gleb Krzhizhanovskii’s Conception of the Nature–Society Metabolism
Bibliographic record
Abstract
Abstract In recent years, there has been a growing interest in the relation between Marxism and the Soviet productivist economy. While historical scholarship rarely explores the intellectual context in which the Soviet experiment unfolded, ecomarxists tend to describe the Soviet Union’s mistaken path as a result of the loss of ‘metabolic’ thinkers following the rise of Stalin. This article challenges the neat, purported divide between a ‘metabolic’ and ‘productivist’ Marxism by analysing the energy-economic thinking of Gleb M. Krzhizhanovskii, a Bolshevik engineer and old friend of Lenin. As chairman of both the electrification commission (GOELRO) and the State Planning Commission (Gosplan), Krzhizhanovskii conceptualised the energy economy as something embedded in the metabolism of nature and society and as the technical-economic basis of the socialist economy. This argument drew its strength from his idea that production is part of the general, ongoing life-process, and the hope that large-scale electrification and electro-chemistry could help govern the metabolism between nature and society more rationally – both arguments commonly found among contemporary natural scientists. Any ecomarxist attempt to recover the concept of metabolism today has to come to terms with its productivist and technocratic history.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".