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Record W4310030427 · doi:10.1177/00916471221137546

The Clergy Resilience Model: A Tool for Supporting Clergy Well-being

2022· article· en· W4310030427 on OpenAlexaff
Margaret Allison Clarke

Bibliographic record

VenueJournal of Psychology and Theology · 2022
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsBriercrest College and Seminary
Fundersnot available
KeywordsPerspective (graphical)Resilience (materials science)Psychological resilienceFace (sociological concept)PsychologyProcess (computing)Social psychologySociologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

The Clergy Resilience Model is a theoretical framework with a systemic perspective that is useful to denominations, individual clerics, and therapists in supporting clergy resilience and well-being. This article describes the development of this framework specific to clergy. As there is limited literature on the nature of clergy resilience or the specific variables that enable clergy to positively adapt to the challenges and adversity they face, the Clergy Resilience Model provides a useful framework to begin to understand clergy resilience as a dynamic process. The Clergy Resilience Model highlights the balance between adversity clergy encounter and supportive resources they have access to, as well as the overarching influence of key spiritual factors on clergy resilience. The Clergy Resilience Model was developed as a tool that may help clergy resilience both on an individual and systemic level by creating awareness of critical factors.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.398
Teacher spread0.380 · 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 designTheoretical or conceptual
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

Citations4
Published2022
Admission routes1
Has abstractyes

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