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Record W2053420379 · doi:10.1017/s0144686x12000621

Re-spacing and re-placing gerontology: relationality and affect

2012· article· en· W2053420379 on OpenAlexaff
Gavin J. Andrews, Joshua Evans, Janine Wiles

Bibliographic record

VenueAgeing and Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsAthabasca UniversityMcMaster University
Fundersnot available
KeywordsAffect (linguistics)Argument (complex analysis)Space (punctuation)PhenomenonEpistemologySociologyCognitionEnergy (signal processing)Character (mathematics)PsychologyComputer scienceCommunicationPhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT This paper describes how space and place have been understood in gerontology as phenomenon that are both physical and social in character, yet are relatively bounded and static. The argument is posed as to how, following recent developments in human geography, a relational approach might be adopted. Involving a twist in current thinking, this would instead understand space and place each as highly permeable, fluid and networked at multiple scales. Moreover, it is proposed that the concept of ‘affect’ might also be insightful, recognising space and place as being relationally configured and performed, possessing a somatically registered energy, intensity and momentum that precedes deep cognition. Three vignettes illustrate the relationalities and affects in the lives and circumstances of older people, and how focusing more explicitly on them would allow for a richer understanding of where and how they live their lives. The paper closes with some thoughts on future theoretical, methodological and disciplinary considerations.

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)0.005
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.032
Scholarly communication0.0060.006
Open science0.0010.007
Research integrity0.0020.002
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 head0.039
GPT teacher head0.319
Teacher spread0.280 · 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

Citations155
Published2012
Admission routes1
Has abstractyes

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Same venueAgeing and SocietySame topicMigration, Aging, and Tourism StudiesFrench-language works237,207