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Record W2107829172 · doi:10.1177/2158244011428085

Religious Soft Power as Accountability Mechanism for Power in World Politics

2011· article· en· W2107829172 on OpenAlexafffund
Sherrie M Steiner

Bibliographic record

VenueSAGE Open · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsBooth University College
FundersGovernment of Canada
KeywordsAccountabilityLegitimacyPoliticsSoft powerPower (physics)Corporate governancePolitical scienceSociologyMechanism (biology)Public relationsLawEpistemologyEconomicsManagement

Abstract

fetched live from OpenAlex

This case study of the InterFaith Leaders’ Summit(s) from 2005 to 2010 expands the concept of “soft power” as an accountability mechanism to include religious soft power. This article explores the theoretical validity of a Faith-Based Accountability Mechanism (FAM) as a macro-level explanatory unit. The interfaith leaders exercise public reputational and peer accountability among their constituents in relation to the G8/G20 leaders. The theoretical validity of the dialogue process is not contingent on political leader responsiveness but is ascertained using a complex theoretical standard for assessing the legitimacy of global governance institutions against which observations are then gauged. The InterFaith Dialogue Mechanism is a specific illustration of a FAM that shows increasing compliance with the complex standard between 2005 and 2010. The Dialogue Mechanism FAM is a form of religious soft power that combines soft institution with soft technique. The next stage in the research is to identify specific characteristics of the FAM ideal type.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.010
Scholarly communication0.0030.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.044
GPT teacher head0.342
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2011
Admission routes2
Has abstractyes

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