MétaCan
Menu
Back to cohort
Record W4403042760 · doi:10.1007/s10943-024-02145-x

Intersections of Compassion, Science, and Spiritual Care in Global Health for Public Health Benefits

2024· article· en· W4403042760 on OpenAlexaff
Daniel Orogun, Harriet A. Harris

Bibliographic record

VenueJournal of Religion and Health · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of Victoria
FundersUniversity of Pretoria
KeywordsCompassionSpiritual careHealth careGlobeNursingPsychologyService (business)SpiritualityPublic relationsMedicinePolitical scienceBusinessAlternative medicineLaw

Abstract

fetched live from OpenAlex

Across the globe, spiritual care is offered by individuals, healthcare chaplains, and humanitarian, social and related spiritual groups on account of zeal, voluntary and paid services. Sometimes, services are provided without understanding the connectivity of compassion, spiritual care, and scientific protocols. There are instances where health professionals and managers disagree with spiritual caregivers or reject spiritual services because of poor service deliveries in conflict with healthcare protocols. Against this background, this article focuses on how spiritual care services can be provided scientifically to improve service delivery. It presents leading questions to link the scientific and compassionate approach to spiritual care. These include-What is science? What is compassion? What is spiritual care? What makes compassion and spiritual care scientific? Are there tenets of compassion in religions? How are compassion, science and spiritual care linked? What are the implications of the intersections for public health and safety? Hopefully, the provided answers may improve the service delivery performance of spiritual caregivers and their collaboration with healthcare professionals, social workers, and related groups.

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)0.006
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.544
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.081
GPT teacher head0.452
Teacher spread0.371 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Religion and HealthSame topicReligion, Spirituality, and PsychologyFrench-language works237,207