The politics of prayer books: Delegated intercession, names, and community boundaries in the Russian Orthodox Church
Bibliographic record
Abstract
Prayer is most easily conceived of as political speech when it is a spontaneous practice showing individual and group reactions to current events. Where prayer is a routinized activity involving the recitation of canonical texts, interpreters locate politics in the disciplining of bodies and acts of claiming space. This paper takes inspiration from ethnographies of oral ritual performance and Quranic recitation to include texts and the delegation of speech roles in the analysis of recited prayer. Most Russian Orthodox Christians either pray from a prayer book or order such prayers to be said by specialists. Focusing on the use of baptismal names as indexical elements in intercessory prayer, I argue that Orthodox Christian textual practices sustain a particular form of fractal social authority. Standardized prayer texts synchronize lay and delegated clerical voices, while individualizing responsibility for non-Orthodox kin and acquaintances. Through analyzing canonical and non-canonical intercessory formulae, one can see that part of the political force of prayer lies in constructing community boundaries while dynamically readjusting them.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".