Reflexivity in External Religious Leaders’ Summit Communication Sequences (2005-2012) to G8 Political Leaders
Bibliographic record
Abstract
Religious governance influence in international relations is underresearched. Using reflexivity as primary governance indicator, this case study examines the external communicational sequences of the only multifaith summits (2005-2012) whose purpose is communication to, and dialogue with, G8 and G20 political leaders about global responsibilities to empirically discern, independent of religious leaders’ self-identification, whether the quality of dialogue is indicative of governance behavior or unreflexive acts of international value struggle. Reflexivity is operationalized as historically embedded in social relations using methodological cosmopolitanism. Findings indicate that religious leaders use cultural capital to blur (not reify) social boundaries that inhibit international collaboration, and offer no evidence of unreflexive dialogue. Leaders use social capital to socially (re)construct boundaries for cosmopolitan responsibility to include the interests of the vulnerable that are impacted by, but excluded from, G8 and G20 decisions. This work contributes to the “empirical mapping” of religious governance in international relations with implications for their consideration as dialogue partners for global governance.
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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".