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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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.066
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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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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