CHANGES IN THE BEHAVIOR OF VEGETABLE CONSUMERS IN BUCHAREST AND THE NEIGHBORING AREAS CAUSED BY THE COVID-19 CRISIS
Bibliographic record
Abstract
Romania ranks third in the hierarchy of vegetable growing countries in Europe. This study focuses on the determinants of the decision to buy fresh and canned vegetables and on the satisfaction of buyers on these purchases. The quantitative survey was used as a method of collecting information, and the investigation technique was used as an investigation technique, structured in the form of an opinion poll. The opinion poll applied is a questionnaire-based survey that provided information on the situation of vegetable consumers and the change in consumption behavior caused by the COVID -19 health crisis. Most respondents prefer buying directly from the market, buying between 1-3 kg per purchase. If in previous years taste and provenance were the basic criteria in the purchase of vegetables, the economic crisis caused by the health crisis COVID-19, brought the price in the first place, due to the decrease of buyers' incomes or other financial problems. The need for consumption/family, however, did not suffer, the quantities purchased being comparable to those of previous years, buyers turning to vegetables with a low degree of perishability. The study provides results on consumers' criteria for selecting vegetables and their hierarchical changes during the COVID-19 health crisis.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".