Reflexive Governance Dynamics Operative Within Round One of World Religious Leaders’ Dialogue With the G8 (2005-2013)
Bibliographic record
Abstract
This case study of the World Religious Leaders’ Summits illustrates reflexive governance dynamics operative within the religious summitry process from 2005 to 2013. Past research explored reflexivity within the cultural capital produced by religious leaders and delivered to G8 political leaders. Data are drawn from qualitative interviews, questionnaires, and summit presentations to further explore how reflexivity variously opens up and closes down throughout the 9-year cycle. Rather than choosing between keeping up action capacity or opening problem handling for further contextualization, reflexive governance is best understood as that which both interplays and combines variously. A coevolutionary approach to the reflexive governance of religious summitry is discussed in light of the changing dynamics associated with the upcoming transition from Millennium Development Goals to the proposed Sustainable Development Goals.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".