MétaCan
Menu
← Back to cohort
Record W4311681117 · doi:10.22215/etd/2022-15226

Spirituality and Service Design: Supporting Spiritual Care in Ontario Long-Term Care Homes

2022· dissertation· en· W4311681117 on OpenAlexaffabout
Sophia Nakashima

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsCarleton University
Fundersnot available
KeywordsSpiritualityStakeholderContext (archaeology)Spiritual careLong-term careService (business)NursingDiversity (politics)Service designHealth careService providerPsychologyMedicinePublic relationsBusinessSociologyMarketingPolitical scienceGeographyAlternative medicine

Abstract

fetched live from OpenAlex

Spiritual care is crucial to the holistic care and health of a person, especially throughout the journey of aging. This study explores the role of spiritual care services in Ontario long-term care homes through a service design lens. The research involved a multi-method approach to understand the landscape of spiritual care services across Ontario, as well as the experiences of long-term care service providers. This study involved secondary analysis of an existing spiritual care questionnaire, an environmental scan of long-term care home websites, a service design questionnaire, as well as a series of multi-stakeholder co-design sessions. The results of this study reveal the diversity of spiritual care services provided across the province and share insight into the uniqueness of this service. Applying service design within this complex healthcare context demonstrated both the strengths as well as the limitations of the approach.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.211
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.378
Teacher spread0.336 · 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
Published2022
Admission routes2
Has abstractyes

Explore more

Same topicReligion, Spirituality, and Psychology→French-language works237,207→