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Record W2296607572 · doi:10.1080/08854726.2015.1113809

Recovering Religious Voice and Imagination: A Response to Nolan’s Case Study “He Needs to Talk!”

2016· letter· en· W2296607572 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Health Care Chaplaincy · 2016
Typeletter
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General Hospital
FundersCanada Research Chairs
KeywordsExistentialismContext (archaeology)DilemmaPastoral careSpiritual careSpiritualitySociologySocial psychologyPsychologyPsychoanalysisEpistemologyTheologyPhilosophyMedicineHistory

Abstract

fetched live from OpenAlex

In Nolan's case study, "He Needs to Talk!": A Chaplain's Response to Nonreligious Spiritual Care," he asks an important question: "What is distinctive about the chaplain's role in working with nonreligious people?" This is a compelling question for chaplains working in a society where individuals are increasingly defining themselves as NOT religious. In this response, I will analyze how our current religious context, in which we feel over-responsible for an existential quest without a language to express our dilemma, creates a unique role for chaplaincy with the nonreligious. I will apply this context to Nolan's case study providing examples of how the care provided can support nonreligious individuals to find language to express their religious dilemmas and to foster a moral imagination that counters over-responsibility. Finally, I will suggest that case studies provide thick qualitative descriptions of care that help to reveal what chaplains do while countering stereotypical and thin accounts of religion.

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.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.393
Teacher spread0.360 · 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