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Record W4386568558 · doi:10.29173/pathfinder79

Information Practices of Canadian Family Caregivers of People with Down Syndrome

2023· article· en· W4386568558 on OpenAlexaffvenueabout
Kim Humes, Alison Brown

Bibliographic record

VenuePathfinder A Canadian Journal for Information Science Students and Early Career Professionals · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsDalhousie University
Fundersnot available
KeywordsFamily caregiversDementiaWork (physics)Unpaid workGerontologyPsychologyPublic relationsMedicinePolitical science

Abstract

fetched live from OpenAlex

This literature review was conducted as part of a research study, the purpose of which was to understand how Canadian family (unpaid) caregivers of people with Down syndrome (DS) find, understand, use, share, and manage information to meet their needs and the complex needs of those in their care. Unpaid caregivers are vital to society but are undervalued. The need for caregiving is growing as people with Down syndrome are living longer and are likely to experience dementia as they age; the responsibility for caregiving is being increasingly transferred to families. Information is crucial for empowering and enabling caregivers. In conducting this review, I found that caregiving information work is stressful, mostly done by women, requires robust networks, and links to troubling social and economic trends.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0000.007
Open science0.0010.000
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 head0.035
GPT teacher head0.331
Teacher spread0.296 · 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.

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
Published2023
Admission routes3
Has abstractyes

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