Using mass media to teach the warning signs of stroke: the long and the short of it
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
OBJECTIVE: Stroke is a major cause of morbidity and mortality and rapid treatment is critical to patient outcomes. This paper looks at the effect of paid television advertising campaigns upon the general public's knowledge of the warning signs of stroke and emergency department (ED) stroke presentations. METHODS: Data for the study includes results of nine random-digit dialing telephone surveys conducted among Ontario adults aged 45 and over. The mean number of ED presentations for all strokes and for transient ischemic attacks (TIA) were obtained from the Registry of the Canadian Stroke Network (RCSN). RESULTS: Polls indicated that long advertising campaigns were associated with significant increases in the public's knowledge of stroke warning signs, while shorter campaigns were associated with much smaller increases. Time (as represented by month) was the single most important factor determining the mean number of ED presentations for total stroke but was not for TIAs. Campaign status (on or off the air) had a strong and significant effect on ED presentations when the advertising campaigns were long; when the advertising campaigns were shortened, there was no campaign effect. CONCLUSIONS: Long, intermittent campaigns are effective in increasing the public's awareness of the warning signs of stroke and may have a significant effect on ED presentations for stroke and TIA. Public awareness of stroke warning signs declines during advertising black-outs, so short campaigns are less effective.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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