Examination of food industry progress in reducing the sodium content of packaged foods in Canada: 2010 to 2013
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
In 2010, as part of a national sodium reduction strategy, Canada published sodium reduction benchmark targets for packaged foods; however, no evaluation of this policy has occurred. The objective was to evaluate changes in the sodium content of packaged foods, identify categories reduced in sodium, and determine the proportion meeting Health Canada's sodium reduction benchmarks. This was a cross-sectional analysis of Canadian packaged foods in 2010 and 2013 (n = 10 487 and n = 15 394, respectively). Sodium content was obtained from the Nutrition Facts table. Overall, 16.2% of food categories had significantly reduced sodium levels. The greatest shifts in the distribution of sodium within food categories occurred in imitation seafood (mean ± SD, mg/100 g; 602 ± 50 to 444 ± 81, 26.2%, p = 0.002), condiments (1309 ± 790 to 1048 ± 620, 19.9%, p = 0.005), breakfast cereals (375 ± 26 to 301 ± 242, 19.7%, p = 0.001), canned vegetables/legumes (269 ± 156 to 217 ± 180, 19.3%, p < 0.001), plain chips (462 ± 196 to 376 ± 198, 18.6% p = 0.004), hot cereals (453 ± 141 to 385 ± 155, 15.0%, p = 0.011), meat analogues (612 ± 226 to 524 ± 177, 14.4%, p = 0.003), canned condensed soup (291 ± 62 to 250 ± 57, 14.1%, p = 0.003), and sausages and wieners (912 ± 219 to 814 ± 195, 10.7%, p = 0.012). The proportion of foods meeting at least 1 of the 3 phases of the sodium reduction benchmark targets slightly increased (51.4% to 58.2%) and the proportion exceeding maximum benchmark levels decreased (25.2% to 20.8%). These data provide a critical evaluation of changes in sodium levels in the Canadian food supply. Although progress in reducing sodium in packaged foods is evident, the food industry needs to continue efforts in reducing the sodium in the foods they produce.
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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