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Record W2121884413 · doi:10.1017/s0714980809990195

Older Adults’ Awareness of Community Health and Support Services for Dementia Care

2009· article· fr· W2121884413 on OpenAlexafffund
Jenny Ploeg, Margaret Denton, Joseph Tindale, Brian Hutchison, Kevin Brazil, Noori Akhtar‐Danesh, Jean Lillie, Jennifer Plenderleith

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2009
Typearticle
Languagefr
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of GuelphMcMaster University
FundersCanadian Institutes of Health Research
KeywordsVignetteDementiaRandom digit dialingGerontologyMedicineHealth servicesCommunity serviceCommunity healthFamily medicineNursingPsychologyPublic healthEnvironmental healthDiseasePopulationSocial psychology

Abstract

fetched live from OpenAlex

ABSTRACTThe article examines where older adults seek help in caring for a parent with dementia and the factors associated with their identification of community health and support services as sources of assistance. The authors conducted telephone interviews, using random digit dialing, of 1,152 adults aged 50 and over in the city of Hamilton. Respondents received a vignette that raised issues related to parental dementia. In identifying support sources, over 37 per cent of respondents identified their physician, 33 per cent identified informal support such as family and neighbors, and 31 per cent identified home health services. Only 18 per cent identified community support services. Female participants having higher levels of education were more likely to identify their physician as a source of support. Knowing where to find information about community support services was associated with an increased likelihood of mentioning physicians and home health services as sources of assistance.

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)0.006
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 score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.014
GPT teacher head0.283
Teacher spread0.270 · 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

Citations45
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicDementia and Cognitive Impairment ResearchFrench-language works237,207