MétaCan
Menu
Back to cohort
Record W2781865805 · doi:10.1177/0733464817750274

Utilization of Formal and Informal Home Care: How Do Older Canadians’ Experiences Vary by Care Arrangements?

2018· article· en· W2781865805 on OpenAlexaffabout
Yeonjung Lee, Rachel Barken, Ernest Gonzales

Bibliographic record

VenueJournal of Applied Gerontology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsYork UniversityUniversity of Calgary
Fundersnot available
KeywordsLonelinessAutonomySocial connectednessReceiptGerontologyQualitative researchPsychologyMedicineNursingSocial psychologySociology

Abstract

fetched live from OpenAlex

This study investigates how the receipt of formal, informal, and/or a combination of both types of care at home relates to older adults’ perceived loneliness, life satisfaction, and day-to-day lives. Quantitative analyses using the Canadian Community Health Survey ( n = 3,928) reveal that older adults who only received formal care reported lower levels of loneliness and higher levels of life satisfaction when compared with respondents who received informal or a blend of home care. Qualitative analyses of persons aged 65+ years receiving formal and informal home care in Ontario ( n = 34) suggest that formal care bolstered care recipients’ autonomy and reduced their sense of being a burden on family. In turn, receiving formal care served to improve these older adults’ social connectedness and well-being. Findings underscore older adults’ symbolic, functional, and emotional attachment to formal care services, as well as the limitations of a reliance on informal support.

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)0.002
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0060.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.014
GPT teacher head0.274
Teacher spread0.260 · 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

Citations38
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Applied GerontologySame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207