Navigating the consumer-food interface: A regulatory perspective on plant protein in Canada
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
Navigating the consumer-food interface: A regulatory perspective on plant protein in Canada Christopher P.F. Marinangeli, PhD, RD, is the Director of the Centre for Regulatory Research and Innovation at Protein Industries Canada. He discusses the consumer-food interface from a regulatory perspective on plant protein in Canada. Over the last decade, there has been considerable dialogue around multiple attributes of food system sustainability and tackling the existential and interrelated challenges of non-communicable disease and climate change. These discussions have mainly been underpinned by protein in diets, and the heavy reliance on animal-based protein foods in OECD countries. (1, 2) In response to these initiatives, there has been enhanced dialogue on the promotion of plant protein foods in developed food systems and within dietary guidelines.
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 | 0.001 | 0.001 |
| 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