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Record W2295896173 · doi:10.1017/s0003975615000120

Shadows in Caves? A Re-Assessment of Public Religion and Secularization in England Today

2015· article· en· W2295896173 on OpenAlexfundno aff
Matthew Wood

Bibliographic record

VenueEuropean Journal of Sociology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
FundersUniversity of CambridgeUniversity of OxfordYork UniversityGovernment of the United KingdomFetzer Institute
KeywordsSecularizationSecularityMainstreamSecular stateSecularismSociologyScope (computer science)Political scienceEnvironmental ethicsPoliticsLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract Critics of secularization theory have recently focused upon religion’s public role to put forward theses about de-differentiation, post-secularity and desecularization. A strong defence of secularization theory has not been forthcoming because its proponents have tended to assume, rather than demonstrate, that religion has lost social significance. Drawing upon a neosecularization theoretical approach that highlights the scope of religious authority, this article examines evidence from qualitative studies of the attempts of English mainstream Christian organizations to bring religious messages into the public space and to engage in welfare provision. This re-assessment shows that religious organizations are increasingly co-opted by secular authorities, in ways neither anticipated by, nor explored in, orthodox accounts of secularization. But rather than blurring “the religious” and “the secular,” their distinction is heightened. This situation involves an interlinked and mutually-reinforced declining scope of religious authority at the macro-, meso- and micro-levels, which, it is proposed, constitutes a state of advanced secularization.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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)0.0000.000

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 head0.053
GPT teacher head0.351
Teacher spread0.297 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2015
Admission routes1
Has abstractyes

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