<i>Media Literacy:</i>A Critical Role for Dietetic Practice
Bibliographic record
Abstract
The mass media, including broadcast, electronic, and print media, have become entrenched in Canadians' daily lives. Spending the majority of their leisure time with mass media puts Canadians at increased health risk. Our review of the research literature shows that television (TV) viewing and content are linked to potential consumer health risks due to developed health attitudes, beliefs, and behaviours. The associated health risks of children and youth are of particular concern. Excessive TV viewing has been associated with obesity development, increased energy consumption, reduced energy expenditure, negative body image development, and reduced concern with the concept of self-care. Media literacy, the ability to view critically and understand mediated messages, is a possible technique to mitigate these adverse effects. The enhanced inclusion of media literacy concepts in health education activities of dietetic practice is advocated. Dietitians could increase their understanding of research findings on the health-related effects of mass media use and the implications of including media literacy in daily practice. Such awareness would further augment available health promotion strategies.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".