Impact and challenges of digital marketing in the agri-food system
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 modern market positions digital marketing as a powerful intermediary between effective digital interaction, data interpretation capabilities and business growth, while expanding its impact potential to address various challenges to economic growth. The aim of the research is to systematize the main terms and to track the change in the demand and supply of agricultural food products, by examining the prices of the average consumer basket, the average income and household consumption in order to predict their dynamics and determine the main factors that identify them. The study covers the period from the first quarter of 2019 to the first quarter of 2023, in which our country is under the influence of two external economic factors of great importance for the macroeconomics: the global health crisis caused by COVID 19 and the subsequent war between Russia and Ukraine. A leading result of the analysis is the study of the economic behavior of the main market entities during various crisis situations and the adaptation of the business with the help of digital marketing. The results of the study reveal the possibilities for researching the macroeconomic framework and its dynamics, paying attention to the importance of digital marketing for the development of agri-food enterprises.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 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