Bibliographic record
Abstract
The outbreak of corona-virus infections has not only adversely affected human health, but also disrupted all trade and economic activities. There are also similar problems with production stoppages due to global isolation and self-awareness isolation. To maintain a competitive edge, an entity should anticipate consumer behavior during this global crisis. In particular, the survey of online purchasing behavior of South Korean consumers is highly relevant during the COVID-19 pandemic. This study investigates how COVID-19 affects South Korean consumers by dividing them into consumption patterns, behaviors, perceived values, and purchase intentions. Furthermore, we investigate the relationship between entertainment and pleasure and normative motivation, and between the purchase intentions of South Korean consumers. The expected results of this study may help marketers and companies in analyzing the pattern, behavior, perceived values, and intention of purchasing South Korean consumers who have changed to COVID-19. Besides, we provide e-commerce companies with recommendations on how to address consumers' purchasing motivations and strategically utilize them in South Korea.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".