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Record W1889766818 · doi:10.1177/2158244012450705

Faith-Based Accountability Mechanism Typology

2012· article· en· W1889766818 on OpenAlexaff
Sherrie M Steiner

Bibliographic record

VenueSAGE Open · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsBooth University College
Fundersnot available
KeywordsAccountabilityTypologyPolitical sciencePublic administrationGovernment (linguistics)DemocracyCorporate governanceMulti-level governanceSociologyPoliticsGlobalizationPublic relationsEconomicsLaw

Abstract

fetched live from OpenAlex

The conditions associated with the stability of democratic global governance have been a leading concern of political sociology. Globalization, a situation of “governance without government,” has accountability gaps that International Nongovernmental Organizations—religious and secular—bridge with activism. They strengthen democratic norms by exercising soft power as accountability mechanisms in international relations. Religious and secular accountability mechanisms differ in structure and function. This article presents a Faith-Based Accountability Mechanism typology that outlines a set of attributes for an exercise of religious soft power that might strengthen the democratic process in global governance. A coalition service model that preserves the public trust in appropriate contexts is developed in contrast to monopolistic religious surveillance models. The typology is illustrated with case study data from the 2011 Interfaith Summit in Bordeaux, France.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.366
Teacher spread0.317 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations10
Published2012
Admission routes1
Has abstractyes

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