Bibliographic record
Abstract
One of the leading Marxist theorists of the 20th century and a founding member and leader of the Italian Communist Party, Antonio Gramsci began his intellectual and political journey essentially at the outbreak of WWI and left a massive body of journalistic work by the end of the war. Despite their scope and significance, his wartime writings remain understudied relative to the Prison Notebooks and other post-wartime writings, particularly in the English language literature. This article outlines some of the central themes that he explored in this period. It provides a synoptic depiction of Gramsci’s conceptual development over the course of the war. Gramsci’s dissident social theory represents a radically different intellectual reaction to the war than we see from prominent conservative and liberal social theorists. What emerges from the picture presented in this article is a conceptual snapshot whose organizing principle centers on a critical understanding of intransigence that Gramsci developed over the course of the war. The notion of intransigence, which for Gramsci went far beyond organizational and strategic struggles and expanded into cultural and philosophical endeavors, helps make sense of the major contours of his wartime activities. In carving out a space for critical engagement during the war, Gramsci developed a critique of liberalism and a commitment to socialism which were both marked by and linked through his critical understanding of intransigence.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 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".