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Record W2163825237 · doi:10.5430/jnep.v3n6p102

Working together in lifestory telling for residents in aged care facilities: A qualitative study of staff/family collaboration in aged care

2012· article· en· W2163825237 on OpenAlexvenueno aff
Kaye Ervin, Maddalena Cross, Alison Koschel

Bibliographic record

VenueJournal of Nursing Education and Practice · 2012
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersAustralian Government
KeywordsDementiaNursingPerceptionStorytellingQualitative researchPsychologyFamily memberMedicineFamily medicineNarrativeSociology

Abstract

fetched live from OpenAlex

Introduction: The cognitive deficits associated with dementia often preclude residents in aged care facilities from being able to communicate their life histories, preferences and needs and staff typically rely on family to provide this information. This project explored the opinions of staff and families of participating together in the process of life storytelling for residents. Methods: Staff and families of residents with dementia in one aged care facility were invited to participate in lifestory telling. Semi structured interviews were then conducted with staff and families to explore their perceptions of working together. Results: Negative aspects reported by staff was the perception that some families expectations of care were too high, while family members reported a lack of communication with staff. Conclusions: Life story telling for residents provided a positive experience for participants, with reports that the process itself improved their relationships by increasing understanding.

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)0.015
metaresearch head score (Gemma)0.024
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 score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0030.004
Open science0.0020.005
Research integrity0.0020.003
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 head0.188
GPT teacher head0.550
Teacher spread0.363 · 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
Published2012
Admission routes1
Has abstractyes

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