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Record W1969922540 · doi:10.1108/01443330910934691

Ageing well: emplaced over time

2009· article· en· W1969922540 on OpenAlexaffabout
Sherry Ann Chapman

Bibliographic record

VenueInternational Journal of Sociology and Social Policy · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConceptualizationConcretenessOriginalitySociologyPhenomenonAgeingFrontierMeaning (existential)Psychology of selfValue (mathematics)Gender studiesAestheticsSocial psychologyPsychologyEpistemologySocial sciencePolitical scienceComputer scienceQualitative researchLawAnthropology

Abstract

fetched live from OpenAlex

Purpose To understand ageing well, one needs to study not only those who are ageing but also the places within and with which people are ageing. In the past, much ageing‐well research has been focused on ensuring individuals have the “right” resources and are engaged in the “best” types of activities. However, recent theorizing has prompted the study of ageing well as a process of making sense of self amid later‐life changes. Building on Rowles' attachment‐to‐place work, the purpose of this paper is to consider how the “thick concreteness” of place influences later‐life meaning making. Design/methodology/approach This is a theoretical paper on ageing. Findings The paper draws on Casey's phenomenological conceptualization of places as imprinting themselves on bodies and selves, much as humans shape the places they inhabit. Data from interviews with older rural women in western Canada illustrates how this conceptualization can enhance understanding of ageing well relative to place as a physical, socio‐cultural and temporal phenomenon. In a place that has been depicted as inhospitable, participants have chosen to stay even as practically invisible kin and community “keepers” on the “frontier”. Originality/value This original paper suggests that to age well is to age locally and to make sense not only for self about self and one's own ageing but also for ageing in mutually compatible ways in that place.

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)0.004
metaresearch head score (Gemma)0.017
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.006
Scholarly communication0.0060.007
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.351
Teacher spread0.338 · 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

Citations9
Published2009
Admission routes2
Has abstractyes

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Same venueInternational Journal of Sociology and Social PolicySame topicMigration, Aging, and Tourism StudiesFrench-language works237,207