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Record W2333969141 · doi:10.1093/socrel/srt058

Childhood Misfortune, Ultimate Redemption? A Stress Process-Life Course Analysis of Adult Born-Again Experiences

2013· article· en· W2333969141 on OpenAlexaff
Markus H. Schafer

Bibliographic record

VenueSociology of Religion · 2013
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMisfortuneLife course approachSociologyMedia studiesPsychologyArtSocial psychologyVisual artsPerspective (graphical)

Abstract

fetched live from OpenAlex

This article integrates life course and stress process perspectives to better understand the connections between early life victimization, hardship in adulthood, and religious turning points among middle-age Americans. I identified Christian “born-again” transformations as an empirical case, as this faith transition (1) is relatively commonplace in the American religious landscape and (2) makes direct claims concerning redemption and new life. Analyses use two-waves of panel data from a sample of American adults with retrospective childhood account, spanning 1995–2005. Among the men and women who were not born again at Wave 1, nearly 10 percent experienced a born-again turning point between Wave 1 and Wave 2. The individuals most likely to undergo this transition were those who faced the broadest forms of victimization during childhood. This association was partially explained by continued mistreatment experienced as adults. Though respondents victimized as children were at high risk of experiencing a broad range of adulthood stressors, few of these hardships predicted a born-again transformation.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.347
Teacher spread0.333 · 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

Citations11
Published2013
Admission routes1
Has abstractyes

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