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Record W4389458919 · doi:10.7202/1108006ar

Beyond Private? Dementia, Family Caregiving and Public Health

2023· article· en· W4389458919 on OpenAlexaffvenue
Monique Lanoix

Bibliographic record

VenueCanadian Journal of Bioethics · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsPublic healthArgument (complex analysis)DementiaHealth equitySocial determinants of healthContext (archaeology)GerontologyHealth careHealth policyPolitical sciencePsychologySociologyPublic relationsEconomic growthMedicineDiseaseNursingEconomicsGeographyLaw

Abstract

fetched live from OpenAlex

The World Economic Forum has called dementia one of the biggest global health crises of the 21 st century. In this paper, I make the case that unpaid caregiving by family or close others of persons living with dementia should be a matter of public health. Shaji and Reddy proposed this in 2012 in the context of dementia care in India. They explicitly acknowledge the influence of Talley and Crews’ 2007 article on caregiving as an emerging public health concern. However, they narrow their proposal to caregiving for persons living with Alzheimer’s disease and related dementias (ADRD), which I take to be an important first step in building an argument for putting caregiving more firmly on a public health agenda. In order to support my claim, first, I establish that caregiving is a social determinant of health. Second, I counter objections to the addition of caregiving for persons living with ADRD to a public health agenda, as it would lead to public health mission creep. I then argue that a broad understanding of public health can be inclusive of this type caregiving and is preferable as it highlights an issue of health equity, the gendered nature of caregiving. Finally, I make the case that a definition of public health inclusive of the social determinants of health and caregiving is more adequately suited to address the health consequences of the current changing demographic patterns. My argument adds support to writings on migration calling for broadening the scope of public health.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.521
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.117
GPT teacher head0.326
Teacher spread0.209 · 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 designNot applicable
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 routes2
Has abstractyes

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