Counterfeit patronage: human values, counterfeit experience and construal level
Bibliographic record
Abstract
Abstract Counterfeit-related studies have revealed motivational drives for counterfeit consumption. Little is known concerning the implications of consumers’ enduring and normative beliefs about proper standards of conduct as the determinants of counterfeit patronage. Drawing on the Schwartz theory of human values, experience literature and construal level theory, this research investigates counterfeit patronage by addressing three crucially important questions: (1) what personal values determine counterfeit patronage; (2) how do these relationships vary as a function of counterfeit experience and (3) how do values have power in eliminating counterfeit consumption? Two studies provide robust evidence that self-transcendence values mitigate counterfeit patronage when consumers’ counterfeit experience is low. We also demonstrate that consumers who endorse self-transcendence values more exhibit higher levels of construal, which results in reduced counterfeit patronage.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 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".