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Record W4294295872 · doi:10.1111/1467-9566.13532

‘Sand in the works?’ Infrastructural affordances and life with dementia in the community

2022· article· en· W4294295872 on OpenAlexaff
Holly Symonds‐Brown, Christine Ceci, Harkeert Judge

Bibliographic record

VenueSociology of Health & Illness · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAffordanceDementiaSocialityEthnographySociologyInclusion (mineral)Health carePsychologyGerontologyGender studiesMedicinePolitical scienceEcologyCognitive psychologyDisease

Abstract

fetched live from OpenAlex

The social health of people living with dementia is a more recent addition to the dementia research agenda; to date conceptions of the problem and solutions have relied on underdeveloped theorisations of sociality and social inclusion. In this article, using a material-semiotic approach to care practices and infrastructure, we use an ethnographic case study of one family of a person living with dementia using a day programme and home care supports over a period of 9 months, to examine how infrastructural arrangements provide particular affordances for social relatedness for people living with dementia in the community. The aim of the analysis is to consider how the infrastructural affordances created by the organisation of care may create spatially bounded lives and limit the subject positions available for people living with dementia and their families. It is these narrowed positions of dwelling that we argue may be the necessary starting place for thinking about the social health of people living with dementia and the solutions that might be helpful for them.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.025
Scholarly communication0.0050.005
Open science0.0010.007
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.304
Teacher spread0.282 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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