A model for education and promoting food science and technology among high school students and the public
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
A model for education and promoting food science and technology (FST) as a career among high school students and the public is proposed. Important as FST may be, there has been a general down trend in the number of students enrolling for the course in the institutions worldwide. This is not unconnected with the “home economics/catering” image perception of the discipline by the public. The efforts of some developed countries in reversing this trend were reviewed. The USA, UK, Australia and Canada have put activities in place to this end, hence their stride in food security. If developing continents like Africa will overcome food insecurity, deliberate effort should be geared in making sure FST as a discipline/profession, receives the proper image and boost in enrolment. The proposed model uses the food chain to make a distinction between FST and other food-related professions such as home economics, hospitality management and nutrition/dietetics. FST operates at the secondary stage (processing and distribution) of the food chain closer to the farm gate, providing its end product (food) for other professions while targeting the public. All the other food related disciplines operate at the tertiary stage (retail) directly with the consumer while depending on the product of FST. The core business of the food industry is the product, process and the company, with FST directly involved in all of these areas. The model also highlights the involvement of FST in these areas as well as the need for industry-academia partnership. Key words : Food science and technology, image, home economics, dietetics, nutrition, food chain.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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