What's on the Menu for an Equitable Approach to Nutrition Labelling in Restaurants?
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
Journal Article What’s on the Menu for an Equitable Approach to Nutrition Labelling in Restaurants? Get access Maxwell J. Smith Maxwell J. Smith * Dalla Lana School of Public Health and Joint Centre for Bioethics, University of Toronto *Corresponding author: Maxwell J. Smith, Dalla Lana School of Public Health and Joint Centre for Bioethics, University of Toronto, 155 College Street, Suite 549, Toronto, Ontario M5T 3M7, Canada. Email: max.smith@utoronto.ca Search for other works by this author on: Oxford Academic PubMed Google Scholar Public Health Ethics, Volume 8, Issue 1, April 2015, Pages 98–102, https://doi.org/10.1093/phe/phu047 Published: 02 January 2015
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 | 0.010 | 0.002 |
| 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 | 0.001 |
| 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