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Record W2168152729 · doi:10.1108/14717794200800017

Family relationship quality after admission to a long-term facility

2008· article· en· W2168152729 on OpenAlexaff
Lori E. Weeks

Bibliographic record

VenueQuality in Ageing and Older Adults · 2008
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsExploratory researchLong-term careQuality (philosophy)PsychologyFocus groupNursingBusinessMedicineMarketingSociology

Abstract

fetched live from OpenAlex

This research examined how moving to a residential care home, a specific form of long-term care facility, influences the quality of the relationship between seniors and their family members and how policies in these homes can facilitate relationships between residents and their family members. In this exploratory study, a total of five non-spousal family members participated in a focus group discussion, and an additional 10 family members participated in face-to-face interviews. The two main themes that emerged identified that admission to a long-term care facility had no influence on family relationships, or it had a positive influence on family relationships. The respondents identified how policies in the home can maintain or enhance family relationships. In particular, they appreciated very flexible policies that included few restrictions on when and where they could interact with their relatives and appreciated facilities providing private spaces to accommodate family interaction. The results of this study, and future research, will aid administrators in long-term care facilities to develop policies that most support and enhance the experience of seniors and their ongoing relationship with their family members.

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)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.098
GPT teacher head0.429
Teacher spread0.330 · 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 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

Citations5
Published2008
Admission routes1
Has abstractyes

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