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Record W1964373368 · doi:10.1080/08854720802129117

Poetic Imagination: A Qualitative Study on Emotion, Images, and Verses from Sacred Texts in the Praxis of Theological Reflection in Pastoral Care and Counseling

2008· article· en· W1964373368 on OpenAlexaff
Thomas St. James O’Connor

Bibliographic record

VenueJournal of Health Care Chaplaincy · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPoetryPraxisDreamChristian ministryEthnographyReflection (computer programming)Pastoral careLiteratureClinical pastoral educationAestheticsSociologyPsychoanalysisPsychologyPhilosophyArtPsychotherapistTheologyAnthropologyEpistemology

Abstract

fetched live from OpenAlex

What is the role of emotions, imagination, and images in the praxis of theological reflection in pastoral care and counseling, and what images and/or verses from sacred texts best describe the process of theological reflection? These two questions guided this ethnographic study. Seventy-five practitioners of pastoral care and counseling were interviewed and field notes were also made. Findings include the importance of emotion and imagination with a variety of images and verses from sacred texts. Poetic imagination best describes the process. Discussion involves the implications of the findings with suggestions for teaching, ministry, and areas for future research. Lovers and madmen have such seething brains, Such shaping fantasies, that apprehend More than cool reason ever comprehends The lunatic, the lover, and the poet Are of imagination all compact.... William Shakespeare (1596, [1997]) A Midsummer Night's Dream, Act V, Sc I, 5-9.

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)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0160.020
Scholarly communication0.0070.008
Open science0.0020.008
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.059
GPT teacher head0.431
Teacher spread0.372 · 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 designQualitative
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
Published2008
Admission routes1
Has abstractyes

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