L’intensité de variation du taux de plus-value dans la problématique marxienne de la dynamique du taux de profit général
Bibliographic record
Abstract
Dans ses recherches successives relatives à la dynamique du taux de profit, Marx identifie la croissance de la différence entre les taux de plus-value et de profit comme la condition la plus générale de la baisse du second en dépit de la hausse du taux de plus-value général. Il a cherché avec acharnement à formuler la loi de son évolution. Même s’il n’y est pas parvenu, il a mis partiellement à jour sa dépendance à l’endroit de l’intensité de variation du taux de plus-value. Or dès qu’on traite le taux de profit comme système dynamique discret, la prise en compte de cette intensité s’impose et permet de formuler les conditions les plus générales de l’existence de la baisse et d’une tendance nécessaire à la baisse du taux de profit. Elle nous permet aussi bien de formuler les lois élémentaires qui gouvernent les intensités de variation de la composition, de l’accumulation, de la différence simple entre les deux taux et de leurs relations.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.010 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".