The Role of Ethnic Media in Promoting Health Literacy among Canadian Minorities
Bibliographic record
Abstract
Background: Health literacy is an extremely valuable concept as it allows individuals to utilize and understand health information and services to make the best decisions for themselves. However, previous studies indicate that immigrants tend to have low health literacy that adversely affects their health at some point in their lives. Currently, there is a growing emphasis by national institutions and health organizations, including the Canadian Centers for Disease Control and Prevention, to improve health literacy and overcome the underlying barriers that this has on health disparities among various groups in Canada. This requires an emphasis on working within the communities to expand the current knowledge on how health literacy is impacting minorities, and what interventions can be taken to resolve this issue. One logical extension of this idea is to take a closer look at ethnic media in the forms of television, radio, podcasts, newspapers, or social media outlets, as many immigrants and minorities use these media systems as the primary source of information. As such, the purpose of this study is to establish the extent to which ethnic media in Alberta are promoting health literacy and education, the effectiveness of these mechanisms, and the role they perceive they can play in improving health literacy among ethnic minorities. Methods: This study was organized using the Knowledge, Attitudes, and Practices Model. We compiled a sampling frame of operating ethnic media based on a selecting criterion which included ethnic media outlets that must present at least some information in the home country language, must at least have some form of media that functions in Alberta, and cannot include social media content produced by sole individuals operating on social media websites. We will conduct semi-structured interviews with the selected ethnic media online. We will inductively summarize the participants’ knowledge and attitudes using descriptive analysis, and practices will be thematically analyzed deductively using the Sociological Model and Communication for Developmental approach. Expected results: We expect to find results that indicate that most ethnic media members believe they should be playing a crucial role in improving health literacy among ethnic communities, but strongly feel that they are currently not doing enough and are uncertain of how to approach this issue. We expect that recommended future direction of this work will focus on potential mechanisms that can allow ethnic media to effectively engage with their audiences to promote health literacy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".