The Orthodox Church of Ukraine on the inter-Orthodox agenda at Amman: the dynamics of ecclesiastical recognition
Bibliographic record
Abstract
In February 2020 representatives of Orthodox churches met in Amman, Jordan to discuss the situation of Orthodoxy in Ukraine. The Amman meeting offers a snapshot of the inner dynamics and tensions in world Orthodoxy, where the autocephaly of the Orthodox Church in Ukraine (OCU) currently is a central concern. It sheds light on challenges facing the OCU and its capacity to pursue wider recognition through relationships and communion. After introducing the concepts of recognition and communion, the author examines the preparations, proceedings, and significance of the meeting in Amman. He concludes with a reflection on: (1) how Amman helps to situate the controversy around the OCU’s recognition squarely in the context of international Orthodoxy, and (2) why it is urgent for the churches in Ukraine and Russia to replace divisive speech and action with a renewed commitment to inter-Orthodox communion as an ethical imperative. Despite the polarization arising from the Russia–Ukraine conflict, the two churches face similar challenges in protecting their autonomous moral agency in the public sphere from political co-optation.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".