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Record W3084220727 · doi:10.1080/15426432.2020.1802393

The Shalem congregational assistance plan: a ten year retrospective

2020· article· en· W3084220727 on OpenAlexaffabout
Mark Vander Vennen, Marg Smit-Vandezande, Ken Van Wyk, Joanne Ebear, Danielle VandenAkker, Rick Csiernik

Bibliographic record

VenueJournal of Religion & Spirituality in Social Work Social Thought · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsWestern UniversityThe King's UniversityWilfrid Laurier UniversityMental Health Research Canada
Fundersnot available
KeywordsDemographicsSituatedNarrativePlan (archaeology)Service (business)Service delivery frameworkPublic relationsPolitical scienceMedical educationBusinessSociologyHistoryMedicineMarketingArtComputer scienceDemographyArchaeology

Abstract

fetched live from OpenAlex

A Congregational Assistance Program (CAP) is a unique initiative that appropriates the Employee Assistance model of service provision but instead of centering the counseling around the workplace for employees and their families uses the church as the hub. This article examines the ten-year developmental history of the first Canadian CAP situated in Ontario. The rationale for its development is provided along with how the program was first piloted. A narrative of its subsequent growth and development is offered along with outcome data detailing growth in church and household participation, service user demographics, utilization, and presenting issues. The article concludes by examining the future direction for CAP both in terms of service delivery and program evaluation.

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)0.003
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.037
GPT teacher head0.323
Teacher spread0.287 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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