Building Self-Sustainable Basic Food Systems: Role of Bioactive Components and Beyond in Science and Innovation
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
The world is actively seeking for ways to establish a global food system that demonstrates sustainability in the realms of food security, food safety, and nutrition security. Reflecting on the profound impacts of the COVID-19 pandemic, ongoing war in Ukraine, and accelerated climate crisis with extreme weather events, there arises an urgent necessity for reevaluating the current approach in building sustainable food systems. This contribution considers opportunities and limitations in moving towards more self-sustainable food systems, particularly for basic foods. It also emphasizes the need for caution when contemplating the pursuit of this endeavor and discusses key issues pertaining to basic foods, deforestation, renewable energies, workforce, supply chains, and the environment. Lastly, the roles of science and innovation within the framework of national self-sustaining basic foods systems are elucidated, including opportunities in optimizing the utilization of food bioactive components. It is anticipated that the framework can serve as a tool to foster the development of comprehensive policies that suits the particular needs and development stage of each country. These policies, in turn, will advance the implementation of technologies, promote culture cultivation, and facilitate education and training, all geared towards achieving the goals of a more resilient and sustainable food system.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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