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Record W2998750256 · doi:10.1080/15426432.2019.1706693

Why we pay outsiders to counsel our congregation members: investigating the motivation for funding a congregational assistance plan

2020· article· en· W2998750256 on OpenAlexaffabout
Rick Csiernik, David J. Knezevic, Marg Smit-Vandezande, Mark Vander Vennen

Bibliographic record

VenueJournal of Religion & Spirituality in Social Work Social Thought · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsMental Health Research CanadaThe King's UniversityWestern University
Fundersnot available
KeywordsChristian ministryPlan (archaeology)Public relationsExtension (predicate logic)Public administrationPolitical scienceSociologyLawComputer science

Abstract

fetched live from OpenAlex

A Congregational Assistance Plan (CAP) is a formalized mechanism of counseling, premised on the model developed offering support to workers, Employee Assistance Programming, except for members of a church community. This Canadian study involved 44 church leaders representing both urban and rural congregations. Participants reported that they used church funds to pay for CAP for both spiritual and pragmatic reasons. CAP is viewed as an extension of the church’s ministry while also recognizing it was an economically efficient manner to help members of the congregation with psychosocial issues they did not feel comfortable sharing with ministers and deacons and often issues deacons. Ministers did not have the ability or comfort with which to assist.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.683
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.107
GPT teacher head0.358
Teacher spread0.251 · 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 designNot applicable
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

Citations2
Published2020
Admission routes2
Has abstractyes

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