The Evolution of Seasonal Shopping Events: Global Perspectives
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
In this article, we define the phenomenon of seasonal shopping events (SSEs) and review the research on consumer behavior during such events. SSEs refer to specialized shopping events that frequently occur during and around national or religious holidays. They often reflect a celebration of cultural values and aim to appeal to a wide variety of experiential, hedonic, and other consumer motives. Retailers attract consumers by offering discounts, sales, and promotions related to gift-giving. SSEs often evolve into social and traditional occasions for friends and families. We describe four global examples of SSEs: Black Friday (U.S.), Fukubukuro (“lucky bag,” Japan), Singles’ Day (China), and Boxing Day (Canada, U.K., Australia, New Zealand, and South Africa). We examine these SSEs fromboth the consumer and retailer perspectives, review their histories, and indicate how they have grown beyond their cultures of origin. We then identify common patterns and elements associated with SSEs. We next provide a general framework for how successful SSEs have emerged and discuss the cultural and cross-cultural implications of the SSE phenomenon. Finally, we illustrate some of the ways that changes in the consumer and retail environments might affect the future of SSEs.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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