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Record W2586639334 · doi:10.1177/0037768616685014

Britain on its knees: Prayer and the public since the Second World War

2017· article· en· W2586639334 on OpenAlexaboutno aff
Clive D. Field

Bibliographic record

VenueSocial Compass · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
FundersUniversity of Birmingham
KeywordsPrayerSecularizationReligiosityQuarter (Canadian coin)PopulationReligious studiesDemographyHistorySociologyPsychologySocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

As an additional – and less familiar – key performance indicator of secularization, this article offers a meta-analysis of over-time quantitative data about private prayer in modern Britain, mostly derived from national cross-sectional sample surveys among adults. Despite the fragmentary nature of the evidence and its methodological challenges, with consequent variability in results, the direction of travel is clear. Self-reported regular (weekly or more) private prayer has declined from one-half to one-quarter of the population over the past half-century, while the proportion never praying has risen from one-fifth to one-half. There have been parallel falls in belief in prayer and its efficacy. Gender, age, and ethnicity are the main secular attributes impacting prayer behaviour, relatively higher levels of which also correlate with above average religiosity, belief in God, and churchgoing and with being Roman Catholic or non-Christian. Prayer statistics thus corroborate other indicators which suggest that secularization in Britain has been a progressive, rather than sudden, process.

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)0.012
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.002
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 head0.085
GPT teacher head0.381
Teacher spread0.295 · 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 designQualitative
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

Citations0
Published2017
Admission routes1
Has abstractyes

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