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Record W2943412779 · doi:10.1093/geront/gnz047

Responding the “Wrong Way”: The Emotion Work of Caring for a Family Member With Dementia

2019· article· en· W2943412779 on OpenAlexafffundabout
Rachel Herron, Laura Funk, Dale Spencer

Bibliographic record

VenueThe Gerontologist · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsCarleton UniversityUniversity of WinnipegUniversity of ManitobaBrandon University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFamily memberDementiaWork (physics)PsychologyEmotion workCognitive psychologySocial psychologyMedicineHistoryEngineeringGenealogy

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Although it is generally acknowledged that the changing behaviors of some people living with dementia can be emotionally exhausting for family members, there has been little research on how carers actually interpret and manage their emotional responses when interacting with persons with dementia in context and over time. Applying the concept of emotion work, this analysis examines when and where carers feel they are responding "the right way" to their kin and when and where they resist normative emotions around family care. RESEARCH DESIGN AND METHODS: Semi-structured qualitative interviews (N = 20) and diaries (N = 11) were conducted with, and collected from, family carers in Manitoba, Canada to explore how they negotiate their emotions and emotional displays when caring for a family member whose behaviors are changing. RESULTS: Carers expressed feelings of frustration, anger, and resentment and identified putting on a positive attitude, putting the person with dementia first, protecting the person with dementia, and avoiding conflict and arguing as the "right way" to respond to these feelings. They identified challenges responding the "right way," however, in relation to household chores, and situations that also involved isolation, fear, verbal aggression, and fatigue. DISCUSSION AND IMPLICATIONS: Programs and policies must recognize the complex emotion work of family carers. There is a need for more nuanced education materials, support with household tasks, inclusion of carers' emotional needs in transition planning, and support for carers to exit the caring role when necessary.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.035
GPT teacher head0.296
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations30
Published2019
Admission routes3
Has abstractyes

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