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Record W2079159519 · doi:10.1155/2014/623082

Exploring the Experience of Nursing Home Residents Participation in a Hope-Focused Group

2014· article· en· W2079159519 on OpenAlexafffund
Sharon Moore, Susan E. Hall, Jennifer Jackson

Bibliographic record

VenueNursing Research and Practice · 2014
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsOttawa HospitalAthabasca University
FundersUniversity of AlbertaAthabasca UniversityAlberta Health Services
KeywordsMedicineNursing homesNursingGroup (periodic table)Alternative medicineGerontologyFamily medicinePathology

Abstract

fetched live from OpenAlex

A qualitative intervention was used to explore how older adults living in a long-term care environment (nursing home) understand hope and experience being participants in a group in which a hope intervention was carried out. A group project in which each session focused intentionally on a hope strategy was carried out with a convenience sample of 10 women (ages 75-99) who were members of an existing group. Data were analyzed using thematic analysis of the interviews (conducted before the group intervention was carried out and again at the end), field notes, and collaborative conversations regarding emerging themes. Findings from this study suggest that hope is not static and that it can change over time in response to one's situations and circumstances. Also evident in this study is the potential for using a group process in long-term care to foster hope in an intentional way to make it more visible in the lives of the residents and their environment suggesting that one is "never too old for hope."

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)0.009
metaresearch head score (Gemma)0.013
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 score0.009
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0070.008
Scholarly communication0.0030.002
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.262
GPT teacher head0.498
Teacher spread0.236 · 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

Citations6
Published2014
Admission routes2
Has abstractyes

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