Sociodemographic Differences in the Com of Nutritional Labels on Food Products
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
pre mo rve udi n N cer alo th ide itio n a k a ant pan ectl tion ns nts itio as a g, f (JN to nearly one quarter of the popula-tion, prim creased c physical a Since been man packaged labels are tion info dians.4-7 has been dietary calories, f part beca more he and thos status.5,7 Canadians, there is evidence that many have difficulty understanding thenutrition label for an ice creamcon-tainer.10 Initial research on the NVS eliability, optimal alth liter-number e tool.10 ithother he Rapid n Adults l Health evidence gh sensi-edge, no ered the popula-e of the current study was to assess the health literacy of individuals with respect to their understanding of calories and percent daily value on food labels using numeracy questions from an adapted NVS tool. The study also sought to examine potential differ-ences among sociodemographic fac-tors, and to increase the literature on the NVS within a Canadian context.
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 | 0.000 |
| 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