Bibliographic record
Abstract
Abstract In worlds of difference, how might certain unities be forged for liberation? This paper pursues this question from the vantage-point of the dialectical tension between Marxism and religion. While some scholars have noted parallels between the two, philosophers of critical realism have aimed to establish a deeper equivalence between Marxism and religion. This paper, however, considers how an equivalence may be forged by subaltern actors in the context of political struggles—how a religious Marxism might look as a theoretical and political practice. I do this by historically reconstructing the life of Sufi Sibghatullah Mazari, a locally influential communist from Pakistan who equated Sufism with Mao-inflected Marxism. Born into a poor farming family from South Punjab, he would go on to lead peasant movements against “feudal” landlords ( jagirdars ) during the 1970s and be recruited into the Mazdoor Kisan Party, the country’s historically largest communist party, which drew inspiration from Mao Tse-tung. Sibghatullah’s introduction to Maoist thought and practice, especially its emphasis on a vernacular-driven communist universalism, led him to comparatively reflect on circulating insurgent Sufisms and their own universalist possibilities. Maoism and Sufism’s shared universalist elements then allowed him to equate the two: an equivalence he centered on the concept of Truth ( Haqiqat ). Sibghatullah also expressed this “mystical Marxism” in his political practice, as he mentored revolutionary Sufi disciples, recruited Sufi-inflected mullahs into the communist party, built alternative insurgent mosques, and even challenged the tribal and patriarchal “honor” codes, practices that, in undermining landlordism’s hegemony over Islam, threatened its reproduction.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.036 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".