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Record W1577465251

How does a female clergy's personal experience of divorce affect her religious faith?

2001· article· en· W1577465251 on OpenAlexaff
Darlene Verna Gidge

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAffect (linguistics)FaithSocial psychologyPsychologySociologyGender studiesTheologyPhilosophyCommunication
DOInot available

Abstract

fetched live from OpenAlex

How does a female clergy's personal experience of divorce affect her religious faith? The female identity is based in relationship both divine and human. Though there is nothing written about female clergy and divorce, the literature on clergy and divorce is fairly extensive. Professional implications of clergy divorce, the uniqueness of clergy marriage and divorce, differing Protestant theological viewpoints, the need for support systems and personal divorce as resource for ministry. are all examined. To ascertain female clergy’s experience of divorce, an analysis of women and crisis, the differences between women and men including how each experiences the Divine, and the different gifts each brings to ministry has been undertaken. A composite case study, an extensive review of the specific scriptures pertaining to marriage and divorce, and a comparison of such are included in this study. The differences in society affecting clergy divorce are addressed.

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)0.002
metaresearch head score (Gemma)0.009
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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.282
Teacher spread0.258 · 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
Published2001
Admission routes1
Has abstractyes

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