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Record W4309245675 · doi:10.1177/10497323221137211

Keeping the Connection Alive With Tender Care and Common Sense: A Phenomenological Study on Daughters’ Experiences of Having a Mother in a Nursing Home

2022· article· en· W4309245675 on OpenAlexaboutno aff
Maria Finster Úlfarsson, Margrét Hrönn Svavarsdóttir, Kristín Þórarinsdóttir

Bibliographic record

VenueQualitative Health Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsNursingNursing homesCommon senseInterpretative phenomenological analysisConnection (principal bundle)PsychologyMedicineQualitative researchDevelopmental psychologySociologyEpistemology

Abstract

fetched live from OpenAlex

The relationship between mother and daughter is exceptional when it comes to closeness and its impact on their whole life. Thus, a mother's move to a nursing home is pivotal for both of them. The aim of this interpretative phenomenological study, using the Vancouver School of Doing Phenomenology, was to explore daughters' experience of having a mother in a nursing home, its impact on the maternal relationship, and the daughters' need for education and support. Data were collected by 21 semi-structured interviews with 12 women who had mothers living in a nursing home. Keeping the connection alive with tender care and common sense encapsulates the interrelation between the daughters' urge to hold on to the mother-daughter relationship and the rare consideration of education and support from health professionals. Responsibility and sense of duty paired with relief because the mother is in a safe place were accompanied by the daughters' need for confirmation that the mother is well taken care of.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.225
GPT teacher head0.549
Teacher spread0.324 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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