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Record W2078351727 · doi:10.1353/cja.2004.0003

Characteristics of Family/Friend Care Networks of Frail Seniors

2004· review· en· W2078351727 on OpenAlex
Janet Fast, Norah Keating, Pam Otfinowski, Linda Derksen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2004
Typereview
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComposition (language)GerontologyLong-term careHealth carePsychologyDemographyMedicineDemographic economicsNursingSociologyEconomic growthEconomics

Abstract

fetched live from OpenAlex

This paper tests assumptions often made by policy makers and practitioners that networks of family, friends, and neighbours are able to provide sustained care to frail elderly Canadians. Using national survey data, we examined characteristics of the care networks of 1,104 seniors living with a long-term health problem. Care networks were found to vary considerably in size, relationship composition, gender composition, age composition, and proximity, and these network characteristics were found to help explain variations in the types and amounts of care received. As a result, network characteristics that might place seniors at risk of receiving inadequate care (including small size and higher proportions of non-kin, male, and geographically distant members) were identified. These risk factors appear to be poorly reflected in most existing policy.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.953
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.025
GPT teacher head0.293
Teacher spread0.269 · 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