The Effect of Conceptual and Perceptual Fluency on Brand Evaluation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
According to the processing fluency model, advertising exposures enhance the ease with which consumers recognize and process a brand. In turn, this increased perceptual fluency leads to consumers having more favorable attitudes toward the brand. The authors extend the processing fluency model to examine the effect of conceptual fluency on attitudes. In three experiments, the authors show that when a target comes to mind more readily and becomes conceptually fluent, as when it is presented in a predictive context (e.g., a bottle of beer featured in an advertisement that shows a man entering a bar) or when it is primed by a related construct (e.g., an image of ketchup following an advertisement of mayonnaise), participants develop more favorable attitudes toward the target. It is believed that positive valence of fluent processing underlies these processing-fluency effects. When conceptual fluency is associated with negative valence (e.g., hair conditioner primed by a lice-killing shampoo), the authors observe less favorable attitudes.
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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 | 0.025 | 0.005 |
| 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) | 0.000 | 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 it