Emotion and consumption: Toward a new understanding of cultural collisions between Hong Kong and PRC luxury consumers
Bibliographic record
Abstract
Incorporating Illouz’s theory of emotions, this study examines how specific emotions drive consumption, as embodied by escalating conflicts between Hong Kong and the PRC luxury consumers. When affluent Mainlanders pursue status signifiers via consumption of relatively affordable luxury goods in Hong Kong, local residents’ disdain triggers a nexus of emotions: envy, resentment, and status anxiety, linked to fears of being occupied by and assimilated into Chinese culture. Deploying cultural capital and status competition rooted in imagination and refinement, Hong Kongese contrast their knowledge-based use of luxury brands with the avid consumption of PRC visitors, fueled by often extreme wealth. For Hong Kongese, such one-upmanship degenerates into self-doubt and self-failure in their image management attempts, precipitating intense hostility toward PRC consumers. Emotions engender colliding notions of self, status, and cultural and political identity between these disparate yet intertwined cultures.
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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 | 0.001 | 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 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".