Luxury Counterfeit Conspicuousness, Social Functional Attitude and Luxury Counterfeit Consumption
Bibliographic record
Abstract
In recent years, in the field of luxury goods consumption, more and more research shows that consumers tend to buy low-conspicuous luxury goods. However, whether this conclusion is applicable to the field of luxury counterfeits is still lack of in-depth theoretical research. Based on the theory of luxury counterfeit conspicuousness and social function attitude, this paper constructs a theoretical model of the relationship between luxury counterfeits, social function attitude and purchase intention. The empirical results show that luxury counterfeit conspicuousness has a significant positive impact on consumers' social function attitudes. At the same time, the research results also found that consumers' social function attitudes significantly affect consumers' willingness to purchase luxury counterfeits, and social function attitudes play a mediating role in the influence of luxury counterfeit conspicuousness on the willingness to purchase luxury counterfeits.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".