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Record W1990946754 · doi:10.1108/17506200910999138

Enabling volunteer health planning capacity: a rural Canadian case study

2009· article· en· W1990946754 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Enterprising Communities People and Places in the Global Economy · 2009
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsThematic analysisCapacity buildingPublic relationsHealth careProcess (computing)Focus groupQualitative researchBusinessKnowledge managementPsychologyNursingProcess managementMedical educationMedicinePolitical scienceSociologyMarketingComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to determine opportunities, resources, and capacity building supports that enable volunteer capacity to participate in localized health planning processes. Design/methodology/approach A case study methodology is employed in this study. A range of qualitative research methods including focus groups, individual interviews, observation and document analysis is used to gather detailed data about the experience of the health volunteers. They engage in an in‐depth analysis of this experience. A thematic analysis of volunteer accounts informs the explanation of the case and the study findings. Findings The development of partnerships between health systems and communities is advocated as a means of enhancing overall community capacity to address priority health concerns, and to reduce escalating health care costs and inequities. The process of building health partnerships is complex, requiring extensive assessment of both health system and community readiness. Health volunteers have many capacities well suited to collaborative activity; these are more likely to find expression when barriers are minimized and facilitative conditions are maximized. The study finds that dialogue is a key mechanism for assessing community and system readiness, and for building trust and mutual understanding in such health partnerships. This case study introduces facilitated dialogue as a mechanism for assessing volunteer readiness and timely capacity building resources and supports, in line with the developmental needs of volunteers. Assessing health system readiness involves consideration of health system goals and definitions of participation, and overall commitment to developing and resourcing this kind of system‐wide change where the outcomes are longer term in nature. This commitment entails training of health professionals in the relevant health promotion knowledge and skills. This extends to mobilizing, nurturing, and supporting volunteer capacity to work with the health system to make informed decisions about the health needs of their community. Research limitations/implications A health system perspective on this question should be explored to identify other complex challenges associated with managing this kind of system‐wide change. Practical implications The paper provides detailed insights into the experience of health volunteers in a health planning context. These insights potentially inform concrete strategies for assessing community strengths and readiness, and for minimizing barriers to volunteer participation, particularly in a rural context. Originality/value The paper provides insights about how health system structure and environmental processes can be adapted to create an environment conducive to community participation.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.399
Teacher spread0.332 · 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