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Record W7095798597

Dynamics of the Placement Process Association of Nazarene Sociologists and Researchers

2015· article· en· W7095798597 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicMormonism, Religion, and History
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryLicenseDynamics (music)Software deploymentProcess (computing)Association (psychology)
DOInot available

Abstract

fetched live from OpenAlex

God has been calling forth women and men to serve as ministers in the Church of the Nazarene. In recent years hundreds have responded and begun the discipline of preparation. In the United States and Canada during the last decade the average number granted their first district license has been more than 500 each year. In 2002 the number of newly licensed ministers reported by the General Secretary was 582. Over the last several years newly licensed ministers have been about 20 % to 25 % women and 75 % to 80% men. Those of us who are called to ministry in the Church of the Nazarene are different in many ways. We come from different backgrounds. We differ in personality. Our academic skills and our levels of discipline vary. Some of us do our educational preparation through a liberal arts program followed by seminary while others prepare through college alone, at Bible college, by directed study, in district centers, or on-line. We may serve as missionaries, evangelists, chaplains, administrators, associates, or senior/solo pastors. We are each unique in many ways, but we share a great commitment to the heavenly calling and a deep desire that our ministry would be significant. This paper looks at deployment of ministers, particularly pastors, in the Church of the Nazarene. As with other presentations at this conference, we hope that consideration of the system will contribute to positive change. We especially desire that the church will become more effective in placing women in ministry. In addition, we hope that some new ministers seeking placement, both women and men, will be helped as they seek to obey God and find fulfilling ministry within the Nazarene system.

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)0.015
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.039
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0290.010
Scholarly communication0.0130.005
Open science0.0030.015
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0140.002

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 head0.084
GPT teacher head0.291
Teacher spread0.207 · 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 designNot applicable
Domainnot available
GenreOther

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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