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
BACKGROUND: Examining the perception of patient safety culture (PSC) of top managers in health care settings is important because their orientation to PSC can have a large influence on the facility. PURPOSES: In this research, the perception of PSC of nursing home administrators (NHAs) and directors of nursing (DONs) is examined. METHODOLOGY/APPROACH: Primary data were collected to examine the opinions of NHAs and DONs regarding PSC. Information was collected from a large nationally representative sample of 4,000 nursing homes. The Nursing Home Survey on Patient Safety Culture survey instrument was used as a measure of PSC. This has 12 domains and 38 items. Bias indexes, intraclass correlation coefficients, and Pearson's product-moment correlation coefficients of the differences between NHA and DON item scores were examined. FINDINGS: Using a 0-100 scale, most scores fell into the 55-80 range. Higher scores represent a higher (more favorable) PSC. Agreement between the NHAs and DONs was excellent in 10 items, good in 15 items, moderate in 4 items, and poor in 8 items. Of the four largest differences in scores, the NHA scores were higher than the DON scores for 1 item, and DON scores were higher than the NHA scores for 3 items. IMPLICATIONS: The overall perception from both NHAs and DONs appear to represent a somewhat "positive" outlook from these top managers on their institution's PSC. However, NHAs in general report higher scores than DONs do. The areas of divergence between these top managers are further discussed, with a view toward directing future patient safety investigations and initiatives in nursing homes.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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