Habits of Food Consumers in the Post COVID Era
Bibliographic record
Abstract
Humankind has faced various pandemics in history. The food supply chain is one of the foremost vital sectors of the economy, and COVID-19 has had a clear bearing on it from the field to the consumer. In the light of recent challenges in the food supply chain, there is currently considerable concern regarding food production, processing, distribution, and demand. COVID-19 resulted in the movement restrictions of staff, changes in the demands of consumers, closure of food production facilities, restrictive food trade policies, and monetary pressures in the food supply chain. This study describes the impact of the COVID-19 health crisis on people’s interests, opinions, and behaviour towards food. Additionally, an online questionnaire (Spanish population, n = 232) studied the changes in food shopping habits during the pandemic. To try to cover the whole Léon territory and reach the greatest number of persons through mobile phones, tablets, and computers, the questionnaire was created using the Google Forms tool and distributed using instant messaging apps such as WhatsApp, social media such as Facebook and Twitter, social networking sites such as LinkedIn and ResearchGate, and email through snowball sampling. The statistical analysis was carried out under the SPSS programme. The results are presented in the form of means and distributions. The differences between subgroups have been evaluated using student’s t-test. The level of statistical significance used in all cases was p < 0.05. This study is focused on evaluating changes in food consumption habits of the Spanish adult population throughout the COVID-19 lockdown. The study is supported by a web-based survey targeting the adult general population. From this study, we are able to conclude that the studied Spanish adult population is extremely close to from having good healthy dietary habits, considering the Mediterranean Diet as a reference of healthy uptake. An improvement of dietary behaviours throughout the COVID-19 confinement has been discovered. Health-related food selections involved increased intake of fruits, vegetables, and legumes and decreased intake of red meat, alcohol, fried foods, or pastries compared to their pre-pandemic habits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".