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Record W2124634272 · doi:10.1111/ajag.12041

Carer levels of concern on driving and other activities in older people that put others at risk

2013· article· en· W2124634272 on OpenAlexfundaboutno aff
Edward Helmes, Nancy A. Pachana

Bibliographic record

VenueAustralasian Journal on Ageing · 2013
Typearticle
Languageen
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsDementiaCognitive impairmentOlder peopleCognitionMedicineGerontologyPsychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: Early signs of dementia may raise concerns in family members as to the safety of the affected person when engaged in common activities. Here we report on the relative frequency of such concerns using data from the three waves of the Canadian Study of Health and Aging (CSHA). Our focus is on driving, cooking and paying bills, with a prediction that most carers' concern would be over driving. METHOD: Participants were 2780 Canadians over 65 years, who underwent the first wave of CSHA and were subsequently followed during the next two waves. RESULTS: As predicted, concerns about driving were relatively more common than concerns about cooking and handling finances (P = 0.021) in the cognitively intact group, with the opposite order observed in the group with dementia. CONCLUSION: Carer concerns for those diagnosed with dementia shift with the progression of cognitive changes, with concerns declining over the 10-year period.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.788

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.057
GPT teacher head0.358
Teacher spread0.300 · 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 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

Citations0
Published2013
Admission routes2
Has abstractyes

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