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Record W2894671703 · doi:10.1111/jssr.12554

Religious Identification, Switching, and Apostasy Among Protestants and Catholics in Northern Ireland: Individual and Cohort Dynamics Between Two Censuses 2001–2011

2018· article· en· W2894671703 on OpenAlexfundno aff
Stefanie Doebler, Ian Shuttleworth

Bibliographic record

VenueJournal for the Scientific Study of Religion · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
FundersHealth and Social Care Research and Development DivisionQueen's UniversityEconomic and Social Research CouncilPublic Health AgencyQueen's University Belfast
KeywordsProtestantismApostasyFaithEthnic groupReligious identityPopulationSocioeconomic statusIdentity (music)Northern irelandSociologyGender studiesPolitical scienceDemographyGeographyEthnologyLawTheologyNegotiationSocial scienceIslam

Abstract

fetched live from OpenAlex

Abstract Religious identification has historically been salient in Northern Ireland as an ethnic‐national identity marker. Thirteen years after the Good Friday Agreement that marked the start of the peace process in the country, the question arises whether religious affiliation in Northern Ireland has become less of an ethnonational identity marker and more of a personal choice. This article analyzes religious switching and apostasy between 2001 and 2011, using data from the Northern Ireland Longitudinal Study, a representative sample of approximately 28 percent of the population, linked to the 2001 and 2011 censuses. We found that the vast majority retained their self‐reported religious affiliation, a tiny minority switched between Protestantism and Catholicism, and a significant minority, particularly among the young, switched to “none/not stated” or between Protestant denominations. Religious switching is associated with young age, higher education, and also socioeconomic deprivation. Experiences of social frustration appear to drive many to leave their faith.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
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 head0.031
GPT teacher head0.356
Teacher spread0.325 · 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 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
Published2018
Admission routes1
Has abstractyes

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