Feeding the world into the future – food and nutrition security: the role of food science and technology
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
By mid-century, the world population will surpass 9 billion people, meaning higher demand for available food, water, arable land and environmental impacts. Food safety issues, nutrition deficiencies, postharvest losses, regulation inconsistencies and consumer attitudes are all striking challenges which must be met in maintaining food security and sustainability. Possible solutions include advancements in food processing technologies, nanotechnology, innovative food formulations and the use of genomic approaches manifested in examples such as alternative protein sources, insect flour, nutrigenomics, 3D food printing, biomimicry, food engineering and merging technology. International organizations like the International Union of Food Science and Technology also play important roles in securing the world's food supplies by providing expertise through their respective country memberships. The present review addresses the food science and technology roles in meeting current challenges and investigates possible solutions to feed the world in the near future.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.015 |
| Scholarly communication | 0.000 | 0.001 |
| 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