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Record W7079564432 · doi:10.26108/ztxj-g907

Developing a peer-based counselling method to enable pastors to shed the effects of cumulative pastoral stress

2018· article· en· W7079564432 on OpenAlexaboutno aff

Bibliographic record

VenueAcadiaU-DEV · 2018
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityStress (linguistics)Foundation (evidence)Test (biology)ReactionaryProcess (computing)

Abstract

fetched live from OpenAlex

Pastors, as members of the caring profession, find themselves the bearers of large amounts of stress. This thesis seeks to develop and test a peer based counselling method for the purpose of aiding pastors in shedding or dealing with the effects of Cumulative Pastoral Stress. The Biblical and theological foundation of this research is found in Biblical principles of fellowship and solidarity as being a gift from God. Elijah is seen as an example of a stressed minister, and God's response to him shows the divine gift of the company of others who share the same experience. In the same way, Jesus in the garden of Gethsemane seeks the company of His disciples as well. Jesus desired the solidarity and comfort in not being alone in a time of need. Pastoral groups were approached from the area of the Canadian Baptists of Atlantic Canadato test a modified version of the Critical Incident Stress Management model developed by Jeffery Mitchell. This method was modified to meet the different needs of Cumulative Pastoral Stress as opposed to the reactionary on off needs addressed by the Critical Incident Stress model. Two pastoral groups employed the method and it is evaluated in the results chapter. Understanding the effects of the accumulation of pastoral stress and finding means to process that stress enables pastors to avoid the repercussions of the extended carrying of heavy pastoral stress loads. A vibrant working relationship with God and clergy self-care and clergy peer-care combine to provide effective preventatives for Pastoral burn-out.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.297
Teacher spread0.275 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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
Published2018
Admission routes1
Has abstractyes

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