Using Eye Tracking Technology to Determine the Most Effective Viewing Format and Content for Osteoporosis Prevention Print Advertisements
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
In series of three experiments young women's attention patterns were analyzed using eye tracking to deteremine the most effective viewing format and message content for presenting osteoporosis prevention ads. In Experiment 1A ads including both images and text attracted more attention than the image‐only or text‐only formats, p < .01. Experiment 1B revealed that osteoporosis ads attract significantly less attention than fashion and beauty ads ( p < .01) and exercise apparel ads ( p < .01). The last experiment revealed that osteoporosis ads featuring exercise messages were more effective at capturing attention than those promoting increased calcium and vitamin D consumption ( p < .01). These findings may inform the way in which future osteoporosis prevention ads are created.
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 | 0.002 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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