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Record W2510696452 · doi:10.1177/2373379916662481

Development of a Core Online Health Literacy Course in Canada

2016· article· en· W2510696452 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

VenuePedagogy in Health Promotion · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsUniversity of British ColumbiaUniversity of Victoria
Fundersnot available
KeywordsHealth literacyPublic healthInformation literacyPublic relationsHealth educationLiteracyHealth promotionHealth policyWorkforcePopulation healthMedical educationMedicinePsychologyPedagogyPolitical scienceHealth careNursing

Abstract

fetched live from OpenAlex

Health literacy has implications for people’s ability to make healthy decisions and manage their own health. To improve health literacy, we need to improve the knowledge and skills of those who receive and those who provide health information and services, while paying attention to demands of the environment that shape people’s skills and abilities. Higher education can play a critical role in nurturing a health literate population. This article articulates the need to integrate health literacy courses into health-related degree programs through the integration of Bandura’s work and Core Competencies for Public Health put forward by Canada. Offering such courses in varying formats will help prepare learners to better understand the growing demand for a health literate workforce and will contribute to the ongoing public health initiatives in improving health-related settings by removing health-related barriers. This article outlines the need for a systematic development of health literacy courses based on the integration of instructional and health literacy principles. An example of a core online undergraduate health literacy course in Canada is presented. Insights are offered into how educators can develop and modify their own health literacy courses, which aim to help learners explore ideologies, practices, tools, and policies guiding health literacy efforts for diverse people across settings.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.143
GPT teacher head0.536
Teacher spread0.393 · 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