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Record W1997537938 · doi:10.1108/14717794200300003

Is there a future for the informal homecare of older people in a changing society?

2003· article· en· W1997537938 on OpenAlexaff
Christine Smith, Sherrill Snelgrove, C Armstrong-Esther, June Clark

Bibliographic record

VenueQuality in Ageing and Older Adults · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRespondentOlder peopleGerontologyPsychologySample (material)MedicinePolitical science

Abstract

fetched live from OpenAlex

The objective of the research reported here was to provide an opportunity to raise issues relevant to the ongoing debate on informal care of older people by exploring the attitudes of both men and women towards the care of dependent older people. The sample (n = 174) was drawn from age cohorts 20-39 years (n = 90) and 40-59 years (n = 84). The men and women who participated in the study were members of the general public. The self-administered survey questionnaire was designed to examine attitudes towards the informal care of older people and to determine if men and women differ not only in attitude but also in their willingness to undertake certain aspects of care, and whether the age of the respondent was likely to be a defining factor. Statistical analysis was conducted using SPSS. The results established that an overwhelming majority of women demonstrated a greater willingness to provide care to a dependent older relative.

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)0.008
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.008
Scholarly communication0.0060.011
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.300
Teacher spread0.287 · 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

Citations4
Published2003
Admission routes1
Has abstractyes

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