The portrayal of food marketing policy by Canadian news media
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.
Bibliographic record
Abstract
Unhealthy food marketing influences children's food preferences, intake and rates of obesity.Currently, there is no mandatory national food marketing policy that restricts food marketing to youth in Canada.Little is known about the effects news media may have on the policy process with regard to food marketing.This study aimed to investigate how the Canadian media portrays the issue of food marketing policy, what perspectives are being framed, and who is being quoted.An article search of Canadian news sources on the databases Eureka and Factiva was conducted for the period 1 November 2015 and 1 November 2021.Sixty-five unique news articles on food marketing regulation were identified and a content analysis of each was conducted.The majority of news articles on food marketing regulation framed the topic around health (e.g.obesity, poor dietary intake) and lack of regulation.Food marketing regulation was identified as a solution to the problem in nearly all articles analyzed and was presented positively in 64.6% of articles.Few harms of marketing regulation were identified, while the two main benefits observed were reduced child obesity rates and exposure to food marketing.This study emphasizes the agenda-setting role of news media that were supportive of promoting public health goals.The Canadian media positively promotes government regulation of unhealthy food marketing.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it