MétaCan
Menu
Back to cohort
Record W2899780863 · doi:10.1093/geroni/igy023.635

PRECARITY AND AGING: UNDERSTANDING CHANGING FORMS OF RISK AND INSECURITY IN LATER LIFE

2018· article· en· W2899780863 on OpenAlexaff
Amanda Grenier, Richard A. Settersten, Chris Phillipson

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPrecarityPrecarious workLife course approachSociologyGlobalizationPolitical scienceGender studiesWork (physics)Social psychologyPsychology

Abstract

fetched live from OpenAlex

This symposium addresses pressing social and political debates about the growing precarity of human lives today. To date, the concept of precarity has been used in fields such as economics, labor studies, sociology, and philosophy, and has drawn attention to risks arising from globalization and neo-liberalization. The symposium, drawing on papers from a forthcoming edited collection, will apply the concept of precarity to a range of topic areas in gerontology. Amanda Grenier will provide an introduction to the application of precarity to the field of ageing. Following this, she will explore the concept of frailty through the lens of precarity, situating it as a shared human experience as well as the result of politically-induced responses to care. Sarah Vickerstaff and colleagues examine transitions from work to retirement, demonstrating how the shift to longer working lives has created precarity even for those in secure employment. Karen Kobayashi explores precarity as it is embedded in immigration experiences, pointing to the fragmented life circumstances that often accompany migration, particularly for people in middle and later life. From a life course perspective, Rick Settersten reveals sources of later life precarity that stem from interpersonal relationships, from pathways through education, work, and family life, and from exposure to historical events and social change. Chris Phillipson, as discussant, will summarize the key themes arising from the papers and indicate ways forward for developing organizational and policy responses which challenge vulnerabilities arising from the emergence of precarious cultural, economic and social environments.

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)0.000
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 score0.359
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.047
GPT teacher head0.313
Teacher spread0.266 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInnovation in AgingSame topicMigration, Aging, and Tourism StudiesFrench-language works237,207