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Record W2566067796

The effects of trauma on religious and spiritual change

2015· dissertation· en· W2566067796 on OpenAlexfundno aff
Claire S. Barnes

Bibliographic record

VenueTSpace (University of Toronto) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
FundersOffice of International Science and EngineeringSocial Sciences and Humanities Research Council of CanadaUniversity of Oxford
KeywordsPsychology
DOInot available

Abstract

fetched live from OpenAlex

An emerging area of research on religion, spirituality and trauma has documented religious change in the wake of trauma, with some individuals casting doubt on their faith and others renewing their investment. However, the emotional and cognitive processes involved in faith change remain unclear. This study addresses this gap in the literature through in-depth interviews with eleven participants who experienced changes in their religion as a result of a traumatic experience. The interviews aimed to uncover 1) changes in participants' worldview 2) changes in participants' relationship with their deity and 3) personal and social factors that affected participants' faith change. Data was analyzed thematically using the grounded theory approach and an integrative model of religious change was proposed. Findings indicated that participants engaged in an emotional, cognitive and relational process of faith change that generally followed three paths: weakening of faith, strengthening of faith, and developing an individual spirituality.

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)0.003
metaresearch head score (Gemma)0.011
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.010
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.002
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 head0.029
GPT teacher head0.329
Teacher spread0.300 · 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
Published2015
Admission routes1
Has abstractyes

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