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Record W970137768

Come in, come in and sit down : seniors in long term care and the local congregation of the United Church of Canada

2014· article· en· W970137768 on OpenAlexaboutno aff
Lana B. MacLean

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)Long-term careGerontologySociologyPolitical scienceMedicineNursing
DOInot available

Abstract

fetched live from OpenAlex

Come in, come in and sit down-you are a part of the family. 1 We sing this hymn and we mean it-we want people to come in and be comfortable and to join us in worship.But when part of the family can no longer attend church services-when a senior citizen leaves their home to go into long-term care-maybe we need to take the church community to them.This paper explores how the move to long-term care affects the relationship with the United Church congregation and the senior's spiritual needs.Seniors want the connection with their friends and their church family.As important as worship is, the visit and the connection to the community is just as important.Seniors appreciate knowing they are still part of the family of their congregation.As United Church congregations, we need to establish Pastoral Care teams and make a concerted effort to stay connected with our senior members once they have retired to long-term care facilities. 1 James K. Manley, "Come In, Come in and Sit Down."Voices United : The Hymn and Worship Book of the United Church of Canada (Etobicoke, ON: The United Church Publishing House, 1996), 395.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.114
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0240.004
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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