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
This research examines the impacts of exposure duration and banner ad complexity on advertising persuasion in a web advertising environment. Processing fluency is used to explain the underlying process that occurs among consumers during exposure to advertisements, and refers to the ease of stimulus encoding and processing that is facilitated by prior exposure to a banner ad. Based on previous studies (e.g. Reber et al. 1998), this research used a priming phase and a testing phase, in which respondents viewed two banner ads for the same brand. A banner ad presented in the priming phase facilitates viewer processing of a target banner ad in the testing phase due to processing fluency. The findings show that, when a banner ad is difficult to process in the priming phase, increasing the duration of exposure to the ad in the priming phase causes a linear increase in respondent attitudes towards the target ad and brand in the testing phase. When the priming banner ad is moderately difficult to process, increasing the exposure duration in the priming phase first increases, and then decreases, respondent attitudes towards the target ad and brand (an inverted-U pattern) in the testing phase. When the priming banner ad is easy to process, increasing the exposure duration in the priming phase first decreases, and then increases, respondent attitudes towards the target ad and brand (a U pattern) in the testing phase.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| 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