For Putin and for Sharia: Dagestani Muslims and the Islamic State By Iwona Kaliszewska. Translated by Arthur Barys. Ithaca, NY: Northern Illinois University Press, an imprint of Cornell University Press, 2023. 168 pp.
Bibliographic record
Abstract
The book, authored by Iwona Kaliszewka, offers a comprehensive account of the development of Islamism in Dagestan in the 21st century, delving into the challenges and complexities arising from the collapse of the Soviet Union.While addressing well-studied academic topics like terrorism and Islamism, Kaliszewka challenges simplistic narratives by immersing herself in meticulous ethnographic inquiry, exploring the intricate layers of Dagestan's multiethnic, religious, and linguistic landscape.The book's strength lies in its extensive multiyear fieldwork conducted in a highly volatile environment, where the author confronted a myriad of ethical, logistical, and security challenges.Despite Dagestan's reputation as "the most dangerous place in Europe," and despite Russia's bureaucratic, ironfisted response to jihadist insurgency, Kaliszewka not only interviewed people in Dagestan but did so consistently over nearly a decade.The exceptional nature of her fieldwork is matched only by her counterintuitive argument, highlighting the unexpected interplay between Sharia law and Islamism, nostalgia for the Soviet Union, and the policies of Vladimir Putin's Russia.Kaliszewka adeptly underscores the challenges faced by Dagestanis after the dissolution of the Soviet Union, which led to the cessation of modernization efforts and a lack of cohesive social projects for economic and social development.She illuminates the deep-seated nostalgia for the Soviet era among Dagestanis, including the Stalinist period, and explores the intriguing connection forged between the Soviet past and the newly adopted aspirations for an Islamic state governed by Sharia law.Through her fieldwork, Kaliszewka demonstrates how Islamization is perceived as a logical progression from socialism, offering an alternative to the tumultuous capitalism experienced in the 1990s, while also seeking to preserve Dagestan's cultural identity, social morality, and traditional way of life.In addition to challenging conventional narratives, Kaliszewka's research offers a nuanced perspective on Islam in Dagestan, transcending the traditional dichotomy between state-sanctioned Islam and perceived "nontraditional" forms
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".