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Record W2913488975 · doi:10.1111/hir.12248

Provision of consumer health information in Alberta's Rural Public Libraries

2019· article· en· W2913488975 on OpenAlexaffabout
Georges Danhoundo, Doug Whistance‐Smith, D. Lemoine, Jill Konkin

Bibliographic record

VenueHealth Information & Libraries Journal · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsThematic analysisIncentiveThe InternetInformation literacyRural healthPublic relationsRural areaBusinessMedical educationLibrary scienceMedicinePolitical scienceSociologyQualitative researchWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: Access to health services is a major challenge in many rural communities within Canada. Rural public libraries can serve as centres for health resources. OBJECTIVE: The aim of this exploratory study was to analyse the manner in which Alberta's rural libraries provide health information to their patrons. METHODS: A questionnaire including closed ended and open ended questions was sent to the 285 rural libraries across the Canadian province of Alberta. Descriptive statistics and thematic analysis techniques were used for the data analysis. RESULTS: The findings indicate that in three quarters of Alberta's rural libraries, about 10% of requests for assistance were related to health issues. The provision of health information in these libraries is hampered by the lack of Internet, private space for reference interviews, and staff and volunteer training. Library staff members were inexperienced in conducting reference transactions and reported lacking confidence in meeting patrons' needs and ethical standards. DISCUSSION: Addressing these challenges will require the recruitment of more qualified librarians in rural library systems, possibly through incentive measures, and a comprehensive education and training programme for both staff and volunteers combined with the necessary resource support for the rural libraries. CONCLUSION: When human and material resources are adequate, rural libraries can contribute to improving the health literacy of their 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 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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.071
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.370
Teacher spread0.334 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations7
Published2019
Admission routes2
Has abstractyes

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