Why this work is in the frame
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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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it