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Geographical Gerontology: Mapping a Disciplinary Intersection

2009· article· en· W2057009911 on OpenAlex

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.

Bibliographic record

VenueGeography Compass · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsTrent UniversityMcMaster University
Fundersnot available
KeywordsDisciplineTerritorialitySociologyEconomic geographyTime geographyIntersection (aeronautics)Convergence (economics)Regional scienceHuman geographyGeographySocial scienceDevelopment geographyHistorical geographyEconomic growthCartography

Abstract

fetched live from OpenAlex

Abstract The intersection between geography and gerontology arises structurally in institutions and intellectually both in academic debates surrounding disciplinary territoriality and substantive fields of empirical inquiry (population ageing and movement; services and policy; living environments; emplacement; emotions, images and the body). Although recent years have witnessed an increasing theoretical convergence between geography and gerontology – resulting in ever fertile ground for research – a range of contemporary social processes have yet to receive substantive attention. Arising as consumer niches and economic networks, these involve connectivity across geographical scales from the local to the global. Although they provide opportunities and enrich lives, they also contribute to the continued disadvantage of older people in the developing world. We argue that addressing these in research is not only morally justifiable, it potentially generates a distinct body of theoretical knowledge that might inform ongoing empirical work.

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 score0.343
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.032
GPT teacher head0.310
Teacher spread0.279 · 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