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Record W4409461287 · doi:10.1111/1467-9655.14271

Introduction. Ageing time beings: Temporality and ethics in old ages

2025· article· en· W4409461287 on OpenAlexaboutno aff
Lone Grøn, Lotte Meinert

Bibliographic record

VenueJournal of the Royal Anthropological Institute · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
FundersVelux Fonden
KeywordsTemporalityAgeingHistorySociologyPhilosophyEpistemologyBiology

Abstract

fetched live from OpenAlex

What can we learn about temporality by studying different ways of measuring time, institutional time regimes, and (a)typical experiences and creations of time when growing older? This introduction sets perspectives on this question from the anthropologies of ageing, ethics, and temporality. Understanding humans as time beings, we argue that attention to connections between large‐scale history, collective temporal registers, and small‐scale singularities of the experience of time can reveal and destabilize common representations of ageing and time. We propose an analytical direction that acknowledges and attends to situations of uncertainty and suffering, while also foregrounding questions about ‘the good’, not only through paying attention to cultural values such as ‘active ageing’, ‘filial piety’, or ‘desired dependency’ (and critiques of them), but also smaller scale, oppositional, and atypical values and poetics of ageing and time. We introduce the contributions in the special issue with close‐up ethnographies from Canada, Denmark, India, Japan, Kyrgyzstan, Uganda, and the United States, and the core argument across the contributions regarding how time manifests in multiple ways but is ontologically groundless. This lays the ground for critiquing various dogmas about age and time and opens up possibilities of affording plural temporalities in social life.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
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 studies0.0010.002
Scholarly communication0.0000.000
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 head0.026
GPT teacher head0.342
Teacher spread0.317 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Royal Anthropological InstituteSame topicMigration, Aging, and Tourism StudiesFrench-language works237,207