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Voluntarism and long‐term care in the countryside: the paradox of a threadbare sector

2008· article· en· W1949388965 on OpenAlexafffundvenueabout
Mark W. Skinner

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsTrent University
FundersCanadian Institutes of Health ResearchCanadian Health Services Research Foundation
KeywordsVoluntarism (philosophy)Voluntary sectorRestructuringRural areaEconomic growthRural healthHealth carePolitical sciencePublic relationsEconomicsLaw

Abstract

fetched live from OpenAlex

This article contributes to the burgeoning literature on the geographies of voluntarism by addressing how voluntary sector providers in rural communities respond to the downloading of responsibilities for health and social care associated with public service restructuring. Drawing on a qualitative analysis of long‐term care in Ontario, it focuses on the consequent actions of non‐profit organizations, community support groups and volunteer caregivers in three different rural settings. Despite evidence of increasingly disproportionate levels of voluntarism amongst rural communities, the results reveal sector‐ and place‐specific opportunities that allow voluntary sector providers to overcome the limitations of the rural service environment. The findings suggest that in the longer run, however, the growing dependence on local solutions will only exacerbate the uneven geographies of health and social care across rural space. Resolving this paradox remains a critical yet neglected challenge for sustainable rural services and communities.

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)0.006
metaresearch head score (Gemma)0.009
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 score0.774
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0140.032
Scholarly communication0.0080.003
Open science0.0010.008
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 head0.010
GPT teacher head0.217
Teacher spread0.206 · 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

Citations59
Published2008
Admission routes4
Has abstractyes

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