Reklamlarda Üçüncü Kişi Algısının Yanlı İyimserlik Bağlamında Değerlendirilmesi: Türkiye ve Kanada Karşılaştırması
Bibliographic record
Abstract
The aim of this study is to examine the interaction between the concepts of third-person perception and optimistic bias - which are highly based on psychology - in the context of suggestive advertisements and purchase intention. For that purpose, data was used drawn via a survey from Canadian and Turkish university students using the convenience sampling method. A 2X4 MANOVA was used for analyzing the data. According to the results, individuals' cultural background and optimistic bias levels have no interaction effect on perceptual and behavioral gap when the product is hedonic. For functional products on the other hand, these two factors have a marginally significant interaction effect on the perceptual gap and a significant interaction effect on the behavioral gap. It is expected that the results obtained will contribute to the knowledge of researchers and practitioners who study the effects of media in the context of culture, advertisement, and consumer behavior.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.009 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.010 |
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; both teacher heads agree on what is shown here.
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".