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Record W2026938752 · doi:10.1017/s0144686x02008759

Elderly people's accounts of home care rationing: missing voices in long-term care policy debates

2002· article· en· W2026938752 on OpenAlexafffundabout
Jane Aronson

Bibliographic record

VenueAgeing and Society · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsMcMaster University
FundersHealth Canada
KeywordsAgency (philosophy)RationingIntervention (counseling)NegotiationLong-term careIdentity (music)NursingPsychologySociologyMedicinePolitical scienceHealth careLaw

Abstract

fetched live from OpenAlex

Fundamental shifts in state intervention in recent years have resulted in steady curtailment in public provision of community and social care. A longitudinal study of elderly women receiving home care in Ontario explored the reverberations of these shifts in the texture of frail elderly people's lives. Three distinct accounts of negotiating unstable and rationed home care were discernible. "Taking charge" was an active account of women successfully impressing their particular needs and identities on home care provision. "Pushed over the edge" was a vulnerable account of insufficient and depersonalized care in which participants felt themselves practically and emotionally out of control. In "Restraining expectations", women adjusted silently to the shortcomings of home care, stoically making themselves smaller as they found their previous orbits and identities unsupported. Home care's front line emerged as a complex site of struggle for identity and agency--a struggle in which elderly people engage with inventiveness and determination but also with dwindling support, few witnesses and in mounting isolation.

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)0.025
metaresearch head score (Gemma)0.023
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0320.065
Scholarly communication0.0210.019
Open science0.0030.010
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.338
Teacher spread0.308 · 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

Citations76
Published2002
Admission routes3
Has abstractyes

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