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 study examines the relationship of social media channel utilization (activity on blogs, content communities, and social networking sites, plus posting a social media policy) by health care organizations and the brand rating of those organizations, as measured by patients who have completed the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. We found the degree of adoption of social media channels among hospitals to be 25%, which is consistent with other reports. We also found a positive relationship between social media channel utilization and patient rating of their overall hospital experience, as well as patient willingness to recommend the hospital. Based upon our findings, we introduce a social media value matrix. The matrix indicates that health care organizations utilizing a greater than average number of social media channels have significantly higher social media value scores (derived from the intersection of HCAHPS scores and social media channel prevalence) than hospitals that utilize fewer than average social media channels. Rogers' diffusion of innovation theory is referenced to explain the rate of adoption of social media by health care organizations.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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