Delineating canonical space in Russian Orthodox Church and Ukrainian Orthodox Church online media
Bibliographic record
Abstract
The article explores the concept of “canonical space” within online media of the Russian Orthodox Church (ROC) and Ukrainian Orthodox Church (UOC). The study examines how the ROC and UOC leverage the Internet to expand their ecclesiastical influence, create imagined communities, and shape perceptions of Orthodox canonical space amid the backdrop of geopolitical tensions, particularly following the establishment of the Orthodox Church of Ukraine (OCU) and Russia’s 2022 invasion of Ukraine. The ROC’s expansive notion of canonical space extends beyond geographic boundaries, aligning with “Russian World” (russkii mir) ideology and employing online resources to legitimize its spiritual and political influence across former Soviet states, Africa, and the West. Conversely, the UOC seeks to distance itself from Moscow, establishing parishes worldwide and emphasizing its Ukrainianness despite facing skepticism and hostilities within Ukraine. This analysis recognizes the Internet as a critical arena where religious authority is contested. The ROC and UOC use online media to assert the correctness of their claims, resulting in a hybrid approach that entwines digital and physical spaces. The research highlights the reshaping of religious authority in today’s globalized, media-rich context, where Orthodox institutions use digital platforms to consolidate power and stake control over physical space and objects.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".