Raya Dunayevskaya: Hegel ve Marx Arasındaki Diyalektik Sınırlar
Bibliographic record
Abstract
This article aims to discuss the dialectical relationship between Hegel and Marx, based on the Marxist-humanist thought of which Raya Dunayevskaya is the founder, through the concept of "alienated labor", which is one of the fundamental phenomena of Marxism. For Dunayevskaya, Marx's emphasis on humanism in Economic and Philosophical Manuscripts of 1844, is directly linked to his discovery of the revolutionary aspect of the dialectics of negativity, which was at the heart of Hegel's absolute idealism. Thus, from the moment when workers' movements discover the dialectic of absolute negativity, they are transformed into freedom struggles capable of human self-determination. Thus, the dialectical law formulated by Hegel as the ‘negation of the negation’ is read by Marx as the first negative, the sublate of alienated labor. For Dunayevskaya, Marx is the only one who, unlike traditional Marxism, can save the Hegelian dialectic from its mystic aura by transforming it into a philosophy of liberation. For Dunayevskaya, the dialectical boundaries between Marx and Hegel are determined by the absolute negativity/ dialectic of negativity that Marx thinks he depts to Hegel. Keywords: Raya Dunayevskaya, Karl Marx, Hegelian Dialectics, Alienated Labor, Marxist- Humanism.
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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 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".