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 several Western countries, hemp seeds and oil are gradually making a comeback as ingredients in food and cosmetics products. The best example is North America, where the recent steady increase in Canadian hemp acreage is driven almost exclusively by demand from the US market for 'natural foods'. But also in the UK and Germany, hemp foods, that is, any food products containing hemp seeds or oil, are beginning to appear in stores and receive press coverage. In the 1990s, much of the coverage of hemp foods was driven by hype or, in the USA, the issue of contamination by trace amounts of tetrahydrocannabinols, the major psychoactive ingredient of marijuana. Nowadays, the potential health benefits and taste of hemp foods have become an important buying consideration. This chapter reviews the drivers for the recent expansion of the hemp food market and discusses the opportunities and challenges it offers to the global hemp industry.
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) | 0.003 | 0.001 |
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