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Record W4387454779 · doi:10.1017/s0144686x23000478

Ageing in place with non-medical home support services need not translate into dependence

2023· article· en· W4387454779 on OpenAlexafffundabout
Kaitlyn Kuryk, Laura Funk, Grace Warner, Marilyn Macdonald, Michelle Lobchuk, Julie Rempel, Lauren Spring, Janice Keefe

Bibliographic record

VenueAgeing and Society · 2023
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMount Saint Vincent UniversityUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsNegotiationThematic analysisWork (physics)Care workActive ageingPsychologyNarrativeNursingGerontologyOlder peopleSociologyMedicineQualitative research

Abstract

fetched live from OpenAlex

Abstract Older adults who age at home independently are often celebrated as having anticipated and planned for their care needs in the later stages of life, whereas those who receive assistance from home support services are often stigmatised as dependent and characterised as a ‘drain on the system’. However, this thematic analysis of interview data from 12 home care clients in two Canadian provinces offers evidence that counters the assumption that home care clients are passive recipients of care. Extending Corbin and Strauss' theorisation of how individuals manage chronic conditions alongside Dorothy Smiths' conception of work, we explore how home care clients ‘work’ to receive care as they age in place. Specifically, home care clients not only engage in daily life work, illness work and biographical work, but also advocate for themselves and their workers, co-ordinate and negotiate with members of their caring convoys and networks, and adapt in various ways to navigate personal, relational, structural and policy-level challenges. We suggest that work done by older adults who are ageing in place be addressed, acknowledged and incorporated into care planning and operational policy development to challenge both the stigma of dependency and neoliberal narratives of self-sufficiency.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.342
Teacher spread0.326 · 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 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

Citations3
Published2023
Admission routes3
Has abstractyes

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