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Record W2728258648 · doi:10.1093/geroni/igx004.2385

PRECARITY IN LATE LIFE: RETHINKING DEMENTIA AS A FRAILED OLD AGE

2017· article· en· W2728258648 on OpenAlexaff
Amanda Grenier, Chris Phillipson, Eugene Lloyd

Bibliographic record

VenueInnovation in Aging · 2017
Typearticle
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDementiaPrecarityContext (archaeology)Vulnerability (computing)Affect (linguistics)PsychologyGerontologyPsychological resilienceCitizenshipSociologyGender studiesPolitical scienceSocial psychologyMedicineHistoryDisease

Abstract

fetched live from OpenAlex

This paper analyses the extent to which frailty and dementia are better understood in the context of new forms of insecurity affecting the life course. Approaches to ageing that are organized around productivity, success, and active late life have contributed to views of dementia as an unsuccessful, failed or ‘frailed’ old age. Operating through dominant frameworks, socio-cultural constructs and organizational practices, the ‘frailties’ of the body and mind are often used to mark the boundaries of health and illness in late life, and shape responses accordingly. Our concern is that whether taken for granted, or ‘imagined’, ideas that couple dementia and frailty can marginalize persons who occupy the locations of dementia and disablement. In this paper, we draw on the concept of ‘precarity’ to reconsider debates, and shift interpretations of the ‘fourth age’ away from age- or stage-based thinking into a recognition of the shared vulnerability and responsibilities for care. We conclude with a call to acknowledge the fragility and limitations which affect human lives, and argue that this recognition be grounded in an inclusive form of citizenship.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.122
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.428
Teacher spread0.340 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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