Editorial Address & Advisory Board
Bibliographic record
Abstract
The first issue of volume five of the Journal of the Council for Research on Religion (JCREOR) is a call by the editors to examine and understand social cohesions and conflicts, with particular interest in what role religion or religious traditions play within communities of diverse peoples. We sought first to understand how tension points arise within communities, and second, to examine the role played by religion in creating or appeasing these tension points. This issue is thus dedicated to probing, not only the tensions that arise within religiously diverse communities but the solutions that are developed in response to criticism or conflict. The studies in this issue address: the fractures that have been created in the Orthodox world by the Russian Orthodox Church’s support for the ongoing war in Ukraine; the tensions between liberal and traditional standpoints when discussing the Vedāntic tradition and the philosophy of the Upanishads; the tension and cohesion created by how different Turkish faith communities have been negotiating their role in the preservation of Ottoman architectural heritage; and, finally, how attempts at creating social cohesion in the Southern state of Karnataka have led to tensions between Muslim and Hindu communities.
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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.011 | 0.008 |
| Insufficient payload (model declined to judge) | 0.223 | 0.183 |
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".