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Record W848286144

The Dynamics of Religious Change: A comparative study of five western countries

2011· dissertation· en· W848286144 on OpenAlexaboutno aff
Sarah King-Hele

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSecularizationPopulationChurch attendanceModernization theoryPolitical sciencePremiseDevelopment economicsSociologyGeographyDemographyLawReligiosityEconomics
DOInot available

Abstract

fetched live from OpenAlex

The two main theories of religious change are the secularization paradigm and the economic model of religion. The secularization paradigm?s main premise is that modernization weakens the power and authority of the church as an institution and reduces the importance of religion in the daily lives of the population. This paradigm applies well to Europe, but the United States acts as a powerful counter-example. Since the 1940s, religious attendance in the United States has remained generally stable, with approximately 40% of the population claiming to attend religious services, mostly in Christian churches, at least once a week. American sociologists explain this relative vitality with reference to an open and competitive religious marketplace, claiming that the innate desire for spirituality is met by the sheer diversity of religious groups in the United States. This economic model of religion applies poorly to the European situation. This thesis examines these apparent contradictions by considering the similarities and differences between the dynamics of religious change in five western countries since the 1970s or 1980s; the countries are Britain, Australia, New Zealand, Canada and the United States. The key question is which combination of dynamics is responsible for religious change in western countries. The effects of migration and fertility aside, all population change must be related to some combination of age, period or cohort effects; age effects are those that occur as people age, period effects are those that affect the whole population regardless of age, and cohort effects are often attributed to circumstances or events during youth. These different dynamics of religious change would each indicate different sources of religious change at the individual level, which may lend support to one theory of religious change over another.I show that there is overwhelming evidence that most religious change in Britain, Australia, New Zealand and Canada is due to differences between generations in the time periods observed with some slight downward period effects. The main drivers of change in the United States are either downward cohort with upward period effects, upward age effects, or a combination of these three effects. I conclude that the changing conditions of socialization in youth, both formal and informal, related to modernization and cultural shifts can explain the dynamics in Britain, Canada, Australia and New Zealand. Similar effects in the United States may be counteracted by the high social desirability of religion in that country by contrast with the other countries and the ability of particularly conservative Protestants in the United States to isolate themselves from views that conflict with their own; these groups are aided in this by numerical strength and by the ability to socialize, work and view media all of which enhance their religious worldview.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.162
GPT teacher head0.403
Teacher spread0.242 · 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 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

Citations7
Published2011
Admission routes1
Has abstractyes

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