Food and beverage cues in children’s television programmes: the influence of programme genre
Bibliographic record
Abstract
OBJECTIVE: The link between childhood obesity and both television viewing and television advertising have previously been examined. We sought to investigate the frequency and type of food and beverage placements in children-specific television broadcasts and, in particular, differences between programme genres. METHOD: Content of five weekdays of children-specific television broadcasting on both UK (BBC) and Irish (RTE) television channels was summarized. Food and beverage placements were coded based on type of product, product placement, product use and characters involved. A comparison was made between different programme genres: animated, cartoon, child-specific, film, quiz, tween and young persons' programming. RESULTS: A total of 1155 (BBC=450; RTE=705) cues were recorded giving a cue every 4·2 min, an average of 12·3 s/cue. The genre with most cues recorded was cartoon programming (30·8%). For the majority of genres, cues related to sweet snacks (range 1·8-23·3%) and sweets/candy (range 3·6-25·8%) featured highly. Fast-food (18·0%) and sugar-sweetened beverage (42·3%) cues were observed in a high proportion of tween programming. Celebratory/social motivation factors (range 10-40 %) were most common across all genres while there were low proportions of cues based on reward, punishment or health-related motivating factors. CONCLUSIONS: The study provides evidence for the prominence of energy-dense/nutrient-poor foods and beverages in children's programming. Of particular interest is the high prevalence of fast-food and sugar-sweetened beverage cues associated with tween programming. These results further emphasize the need for programme makers to provide a healthier image of foods and beverages in children's television.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".