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Record W2474926707

Services for seniors in small-town Canada: the paradox of community.

2008· article· en· W2474926707 on OpenAlexaffabout
Mark W. Skinner, Mark W. Rosenberg, Sarah Lovell, James R. Dunn, John Everitt, Neil Hanlon, Thomas Rathwell

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsArgument (complex analysis)Coping (psychology)Public relationsVoluntary sectorRural areaRural communityEconomic growthCommunity healthHealth careBusinessSociologyNursingPolitical scienceSocioeconomicsPsychologyMedicineEconomics
DOInot available

Abstract

fetched live from OpenAlex

There is a prevailing argument that what small towns lack in formal services they make up for in close ties among rural people and a shared understanding of the notion of community. Drawing on research undertaken in 9 small towns across Canada, the authors examine how the concept of community operates with respect to the provision ofin-home and community care for seniors. The analysis is based on interviews with 55 key informants from local governments, health and social care agencies, voluntary sector organizations, and community groups. The findings reveal the paradox of the conventional belief that rural communities can compensate for lack of services for seniors while failing to take into account the uncertain coping ability of the local informal sectors. The authors challenge rural health policy decision-makers, researchers, and providers to debunk assumptions about services for seniors in rural Canada.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.058
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0230.008
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.040
GPT teacher head0.240
Teacher spread0.201 · 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

Citations38
Published2008
Admission routes2
Has abstractyes

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