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Record W2988423869 · doi:10.1093/geroni/igz038.1477

LEVERAGING CRITICAL RURAL GERONTOLOGY TO IMPROVE RURAL GERONTOLOGICAL HEALTH

2019· article· en· W2988423869 on OpenAlexaff
Laura I.L. Poulin, Neil Hanlon

Bibliographic record

VenueInnovation in Aging · 2019
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Northern British ColumbiaTrent University
Fundersnot available
KeywordsAging in placeGerontologyNegotiationRural areaGerontological nursingHealth careRural healthPsychologySociologyNursingMedicinePolitical scienceSocial science

Abstract

fetched live from OpenAlex

Abstract A critical approach in rural gerontology has led to a better understanding of the complex interplay between older adults unique aging experiences and the multidimensional and dynamic communities in which they live. The evolution of critical rural gerontology will be explored, outlining why a similar approach is needed in rural gerontological health. In particular, rural gerontological health literature must expand beyond a deficit focus that homogenizes older adult health experiences and recognize the complexities of negotiating older adult health within multidimensional rural spaces. Inherent in this approach is recognizing the intersectionality of older adult health as well as the need to study rural gerontological health as an experience enhanced and inhibited by interactions within and across formal health services, informal social services and informal care. This approach will contribute to innovations in policy and practice addressing the burgeoning interest of how to effectively care for older adults in rural 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.

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)0.028
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0120.014
Scholarly communication0.0100.007
Open science0.0030.030
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0120.001

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 head0.081
GPT teacher head0.439
Teacher spread0.358 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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