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Record W2229948892 · doi:10.1177/082585970702300306

So No One Dies Alone: A Study of Hospice Volunteering with Rural Seniors

2007· article· en· W2229948892 on OpenAlexaffabout
Mary Lou Kelley, Manal Guirguis‐Younger

Bibliographic record

VenueJournal of Palliative Care · 2007
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsSaint Paul UniversityLakehead University
Fundersnot available
KeywordsPhoneHospice careQualitative researchNursingInterpersonal relationshipGerontologyPopulationEnd-of-life carePsychologyPalliative careMedicineSociologySocial psychology

Abstract

fetched live from OpenAlex

This paper summarizes the results of a qualitative study of hospice volunteering in the rural communities of northwestern Ontario. In this region, there are 13 independent and active hospice volunteer programs serving communities ranging in population from 1,000 to 15,000. The 13 volunteer coordinators in these communities participated in a phone interview in which they described the role of hospice volunteers in their community and the kinds of clients they serve. The results indicate that the hospice volunteers in this rural region spend a large part of their time visiting medically frail and lonely seniors who are at risk of dying alone or without adequate care and companionship at the end of life. Long-term visiting to build relationships of trust and genuine caring are considered the ideal in these communities. Implications for end-of-life care for rural seniors are discussed.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.058
GPT teacher head0.386
Teacher spread0.328 · 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 designObservational
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

Citations30
Published2007
Admission routes2
Has abstractyes

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