Anticipatory effects of the implementation of the Chilean Law of Food Labeling and Advertising on food and beverage product reformulation
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
This study evaluated the anticipated food and beverage product reformulation by industry before the Chilean Law of Food Labeling and Advertising (Law 20.606) was implemented in June 2016 requiring a front-of-package (FOP) warning label for products high in sodium, total sugars, saturated fats, and/or total energy. Fieldworkers photographed a purposive sample of packaged food and beverage products in February 2015 (n = 5421) and February 2016 (n = 5479) from six different supermarkets in Santiago, Chile. The same products collected in both years (n = 2086) from 17 food and beverage categories with added critical nutrients (nutrients of concern: sodium, total sugars, and saturated fats) were included in this longitudinal study. The average change in energy and critical nutrient content was estimated by category. The number of warning labels potentially avoided because of reformulation was determined. Between February 2015 and February 2016, no category experienced reductions >5% average change in energy or critical nutrient content; and some increased in critical nutrient content. Few products (<2%) would have avoided at least one warning label with reformulation. In a diverse sample of food and beverage products, there was minimal reformulation by industry in anticipation of the implementation of the 2016 Chilean Law of Food Labeling and Advertising.
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 | 0.000 | 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 it