Bibliographic record
Abstract
This study aims to find empirical evidence between personality elements (authenticity, sense of uniqueness, need for uniqueness) and individual’s preference of scarce products (PUI). A model was founded upon an extension of Snyder’s studies of uniqueness seeking behavior and psychological authenticity literature. Survey methodology was used and a questionnaire was developed using widely accepted authenticity (operationalized under three categories, namely authentic living, self-alienation and external influence), sense of uniqueness (SOU), and need for uniqueness (NFU) scales. A total of 257 valid questionnaires were obtained out of 298 fully-completed forms collected from young millennials in Turkey, one of the largest developing countries with a collectivist culture. The data was analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that only authentic living has a statistically significant effect on individuals’ SOU. This component of authenticity also has a significant effect on consumers’ desire for scarce and unique products through SOU. Significant but moderate level direct effects of SOU on PUI and NFU on PUI were observed in the analysis. Compared to the extant literature, this study adopts a more comprehensive interpretation of uniqueness, and incorporates authenticity as an antecedent to fill a research gap.
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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 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".