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Record W2106162496

Dependent seniors at home--formal and informal help.

2003· article· en· W2106162496 on OpenAlexaff
Sylvie A Lafrenière, Yves Carrière, Laurent Martel, Alain Bélanger

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsFlexibility (engineering)Test (biology)MedianGerontologyMedicineDemographyActivities of daily livingPsychologyPhysical therapyStatisticsSociologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: This article documents the number of hours of help that seniors living in private households received from formal and/or informal sources in 1996. DATA SOURCE: Data are from Cycle 11 of the General Social Survey, conducted in 1996. This analysis focuses on 1,089 respondents aged 65 or older who, because of a long-term health problem, required assistance to remain in their homes and who indicated the source of assistance and the amount of help time received. ANALYTICAL TECHNIQUES: Analysis of variance, followed by Tukey's HSD test, was used to examine differences in help time received from each source. Medians are presented using an independent medians test. Linear regression was used to model associations between the amount of help time received from each source and certain characteristics. MAIN RESULTS: In 1996, dependent seniors living in the community received a median of 3 hours of help a week. Most of this assistance came from informal sources. Living arrangements and age were the major influences on hours received from informal sources. Having no surviving children and being disabled in terms of dexterity or mobility/flexibility were associated with increased hours of formal care. For those getting both types of help, increased hours from formal sources did not significantly reduce the hours received from informal sources.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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 designObservational
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

Citations28
Published2003
Admission routes1
Has abstractyes

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