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Record W2520705667 · doi:10.1177/1471301216669236

Life story work with persons with dementia in nursing homes: A Grounded Theory study of the perspectives of care staff

2016· article· en· W2520705667 on OpenAlexafffund
Charlotte Berendonk, Vera Caine

Bibliographic record

VenueDementia · 2016
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsDementiaGrounded theoryNursingWork (physics)Nursing homesPsychologyGerontologyCare workMedicineQualitative researchSociologyDisease

Abstract

fetched live from OpenAlex

In Germany, the use of life story work as an approach to care in nursing homes has not been implemented successfully. Using Grounded Theory, we explored care staff's understandings of life story work when caring for persons with dementia. Thirty-six staff from seven nursing homes participated in semi-structured interviews or group discussions. In this paper we discuss new aspects and theoretical connections between understandings and practices of life story work. For some participants, obtaining 'true facts' about a resident's course of life was considered the most important topic. Others highlighted the importance of narratives as well as embodied stories told by persons with dementia, as aspects that generated emotionally meaningful situations. Delivering sound life story work can be challenging for care staff working with persons with dementia. To enhance care in nursing homes, the importance of life story work needs to be further developed.

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 score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0110.013
Scholarly communication0.0070.006
Open science0.0020.006
Research integrity0.0020.004
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 head0.011
GPT teacher head0.284
Teacher spread0.272 · 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

Citations27
Published2016
Admission routes2
Has abstractyes

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