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Record W4405965654 · doi:10.1093/geroni/igae098.2949

HOW MEDICAL OBJECTS, MEAL PREP ASSISTANCE, AND RELATIONAL CULTURE IMPACT THE MEANING OF “HOME” FOR HOME CARE CLIENTS

2024· article· en· W4405965654 on OpenAlexaffabout
Lauren Spring, Stephanie Mason, Kaitlyn Kuryk, Janice Keefe, Kelly O’Neil

Bibliographic record

VenueInnovation in Aging · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsBrock UniversityUniversity of ManitobaMount Saint Vincent University
Fundersnot available
KeywordsMeaning (existential)MealMedical homeMedicineGerontologyPsychologyFamily medicinePsychotherapistInternal medicinePrimary care

Abstract

fetched live from OpenAlex

Abstract Home care policies, programming, and services in Canada are designed to support older adult clients to age well in their homes and communities. Because the medical model dominates programming and policy decisions about home care services, the delivery of home care services is rarely viewed as relational and intra-active, in which interdependent relationships and interactions occur between clients and care workers. This paper applies a relational lens that incorporates a symbolic interactionist perspective to analyze qualitative data from a series of three interviews over an 18-month period (2019-2021) with 12 older adult home care clients and 10 of their paid caregivers. The overall study explored care pathways for older adult home care clients who received publicly-funded home care services in Manitoba and Nova Scotia. Our analysis revealed that this exchange of affect notably materialized through meal preparation and medical devices in the client’s home. The inter-/intra-actions between clients and care workers inscribed food-related practices and medical objects with symbolic values/meanings of home that were often unique and surprising. Better awareness of the relational cultures of meal preparation and medical devices to meanings of home and how these meanings for clients are sometimes in tension with those held by caregivers, can benefit clients and enrich home care policies and service delivery

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)0.000
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 score0.711
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.276
Teacher spread0.248 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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