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Record W4200009492 · doi:10.1111/cag.12737

On older person/place transformations: Towards a more‐than‐representational geography of aging in rural Canada

2021· article· en· W4200009492 on OpenAlex
Neil Hanlon, Mark W. Skinner

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsTrent UniversityUniversity of Northern British Columbia
Fundersnot available
KeywordsScholarshipPopulation ageingRedistribution (election)PopulationRestructuringEconomic geographyRural areaSociologyDemographic changeGeographyEconomic growthPolitical scienceDemographyEconomics

Abstract

fetched live from OpenAlex

The spatial variability of population aging in rural areas of Canada, and the demographic processes that underlie these areal patterns, are reasonably well understood. Research to date emphasizes processes of population redistribution (e.g., net out‐migration), regional economic change (e.g., resource‐based economic restructuring), and chronologically‐centred models of bodily decline as the major features of population aging in rural contexts. This literature has informed a wide range of gerontological research and policy, but there is much more to be said about becoming older in rural Canada. In this paper, we present the outline of a post‐representational approach to rural aging. We consider the influence of relational and non‐representational forces acting on the experience of aging in rural Canada. We then draw on reflections of earlier work in a particular geographic setting as a means to tease out “more‐than‐representational” considerations for discussion. We also echo recent calls to address a “blind spot” in geographic scholarship that overlooks the considerable extent to which older persons re‐shape their community environments. We conclude with an invitation for a greater engagement with older person/place transformations, including closer attention to the processes and performances of “aging‐through‐place” in other Canadian settings.

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.

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)0.000
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 score0.036
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
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 head0.007
GPT teacher head0.187
Teacher spread0.181 · 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