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Health information support provided by professional associations in Canada

2012· article· en· W1985303525 on OpenAlexaffabout
Trish Chatterley, Dale Storie, Thane Chambers, Jeanette Buckingham, Ali Shiri, Marlene Dorgan

Bibliographic record

VenueHealth Information & Libraries Journal · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversity of AlbertaCapital District Health Authority
Fundersnot available
KeywordsProfessional associationHealth careInformation needsInformation accessHealth informationPublic relationsAccess to informationHealth professionalsInformation systemKnowledge managementBusinessMedicinePolitical scienceLibrary scienceComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Healthcare practitioners in Alberta and across Canada have varying levels of access to information resources depending on their institutional and professional affiliations, yet access to current health information is critical for all. OBJECTIVES: To determine what information resources and services are provided by Albertan and Canadian professional health associations to their members. METHODS: Representatives of professional colleges and associations were interviewed regarding information resources and services offered to members and perceptions of their members' information needs. RESULTS: National-level associations are more likely to provide resources than provincial ones. There is a clear distinction between colleges and associations in terms of information offered: colleges provide regulatory information, while associations are responsible for provision of clinical information resources. Only half of the associations interviewed provide members with access to licensed databases, with cost being a major barrier. CONCLUSIONS: There is considerable variation in the number of electronic resources and the levels of information support provided by professional health associations in Alberta and Canada. Access and usage vary among the health professions. National licensing of resources or creation of a portal linking to freely available alternatives are potential options for increasing access and awareness.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.022
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.418
Teacher spread0.349 · 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 teacher head, not a consensus.

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

Citations3
Published2012
Admission routes2
Has abstractyes

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