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Record W4285360512 · doi:10.46692/9781447359319.006

Negotiating everyday life with dementia: four families

2021· other· en· W4285360512 on OpenAlexaff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversity of VictoriaUniversity of Alberta
Fundersnot available
KeywordsEveryday lifeNegotiationDementiaPsychologyCommunicationSociologyMedicineEpistemologySocial sciencePhilosophyDisease

Abstract

fetched live from OpenAlex

In the preceding chapters, we have taken steps along a pathway towards the central aim of our study. We have been laying some groundwork, offering context for the ways and places that the families and the arrangements they make for living with a family member who has been diagnosed with dementia intersect with other pathways followed by case managers, therapists and care workers in their daily work of offering specific care practices to others in the wider community. We have always been most interested in the arrangements worked out by families in the context of caring for someone living with dementia. The preceding chapters have illustrated that these arrangements are not made solely by the families, but rather, they bear traces of influence from the formal care system at many points of intersection. We have focused on the work of those who have a formal role in supporting people living with dementia, not with a future goal of clearing the influence of those formal supports away from the practices of the families; instead, we take the position that these influences all become integrated into the everyday practices of the families. And yet, as we have noted, while all actors in these stories may have a common interest in sustaining care at home, they may not hold the same interests in common. We believe that it is possible to tease these interests apart to better understand how they operate similarly and differently across unique family circumstances, and that the opportunities for expressing such understanding are enhanced by describing the practices of these various parties. Again, we want to underline that our purpose here is not to compare these different practices for the purposes of saying some are better than others when examined against a set of standards, but rather, to allow the family's and formal care practices to diverge. This notion, drawn from Stengers’ (2019) work examining comparison as a matter of concern, is not only a theoretical question we pursue in later chapters with a view to offering better ways for policy-makers and formal care providers to think about sustaining older people living with dementia.

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)0.015
metaresearch head score (Gemma)0.018
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0560.046
Scholarly communication0.0150.016
Open science0.0050.020
Research integrity0.0070.010
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 head0.045
GPT teacher head0.359
Teacher spread0.314 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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