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Record W4362573354 · doi:10.51952/9781447344520.034

Health literacy policies: National examples from Canada

2019· book-chapter· en· W4362573354 on OpenAlexaboutno aff
Sandra Vamos, Irving Rootman, Linda Shohet, Lorie Donelle

Bibliographic record

VenueBristol University Press eBooks · 2019
Typebook-chapter
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsHealth literacyGovernment (linguistics)Political sciencePublic relationsHealth promotionCharterHealth policyLiteracyPublic healthMedicineHealth careNursing

Abstract

fetched live from OpenAlex

Canada is recognised as an international leader in the evolving field of health literacy. Drawing from many disciplines, health literacy efforts in Canada in large measure have been anchored in health promotion and education perspectives as opposed to being driven by the medical system. The Canadian health literacy path has been informed by noteworthy international landmark policy documents, such as the Ottawa Charter for health promotion, and by international adult literacy surveys (Statistics Canada, 2007, 2013), while leaving its own trail of significant reports and resources. In Canada, health literacy is viewed as a determinant of health, public health issue and essential resource to promote and maintain good health across the life course. There are many pockets of innovative health literacy initiatives, activities and networks across the nation. Much of this work has been embedded in daily practice led by experts, local champions, universities, non-governmental organisations (NGOs) and associations. Yet many efforts tend to be project-based without being absorbed into practice, reinforcing the need for ‘policy to underpin practice’ (Shohet and Renaud, 2006). While promising national-level policy statements have been proposed, none is currently endorsed by policy-makers at any level of government to advance action. In 2008, Canada’s Expert Panel on health literacy produced A vision for a health literate Canada report, with a vision statement that: ‘All people in Canada have the capacity, opportunities and support they need to obtain and use health information effectively, to act as informed partners in caring for themselves, their families and communities, and to manage interactions in a variety of settings that affect health and well-being’ (Rootman and Gordon-El-Bihbety, 2008, p 23).

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.826
Threshold uncertainty score0.958

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.014
Science and technology studies0.0150.003
Scholarly communication0.0070.002
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.066
GPT teacher head0.351
Teacher spread0.284 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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